Writing.io Jobs

Headquarters: Cortland, New York, United States
URL: https://cortlandplastics.com/

Cortland Plastics International is a plastics manufacturing company specializing in innovative plastic packaging and container solutions for a variety of industries. With a focus on quality, efficiency, and continuous improvement, the company provides a collaborative manufacturing environment where employees can develop their skills and build long-term careers.

Position Overview

We are seeking a reliable and detail-oriented Data Entry Specialist to accurately enter, maintain, and organize company information and records remotely.

• Accurately enter, update, and maintain company data, records, spreadsheets, and databases.
• Review information for accuracy, completeness, and correct errors or discrepancies.
• Process and organize production, inventory, purchasing, shipping, and administrative documents.
• Prepare basic reports and spreadsheets and retrieve information as needed.
• Maintain confidentiality and organized records while following company procedures.
• Work with other departments to support daily administrative and data-management needs.

Requirements

• High school diploma or GED preferred.

• Previous data entry, administrative, clerical, or office experience is a plus.
• Strong attention to detail and accuracy.
• Basic computer and Microsoft Office skills.
• Good typing and organizational skills.
• Ability to follow written and verbal instructions.
• Reliable attendance and dependable work ethic.
• Willingness to learn company systems and procedures.

Benefits

• Private Health Insurance
• Pension Plan
• Paid Time Off
• Performance Bonus

To apply: https://weworkremotely.com/remote-jobs/cortland-plastics-international-data-entry-specialist

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it’s how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

As a Data Analyst, Stewardship you will play an integral role in all operational aspects of onboarding, managing and maintaining various datasets used by traders and quantitative researchers. You will work closely with a variety of stakeholders, including technology, front office, operations, research, and risk management. You should be comfortable investigating complex data support issues in a fast-paced environment

About the Role

This role is built around production support: Keeping EOD valuation data and reference data used for PnL production running correctly, and being the person who catches, diagnoses, and fixes data problems before they flow to downstream applications. You’ll work across a global support queue, troubleshoot financial instrument reference and valuation data, and partner with engineering to turn recurring fixes into solutions.

Location: Hybrid schedule. Can sit in our Chicago or Houston office.  Remote may be possible for the right candidate.

Hours: This role has non traditional hours.  10:30am-7:30pm Central time.

What You’ll Do

• Monitor and support the production of EOD valuation data and reference data used for PnL, including coverage during evening hours to bridge global support windows.
• Respond to global requests via Slack and email to create, update, and troubleshoot financial instrument reference data.
• Investigate and explain why and how data appears the way it does — tracing issues back through source systems, feeds, and business logic.
• Diagnose data problems quickly under pressure and build ad-hoc scripts or tooling to resolve them.
• Work across reference data and valuation data stores and related reference data tooling.
• Escalate and collaborate with engineering and other Data Management teams on systemic issues.

What We’re Looking For

• Technical skills: Proficiency in SQL and Python, with hands-on experience troubleshooting data issues or writing ad-hoc scripts to fix problems quickly, standing up tactical fixes in a scheduling environment, building data quality metric reports, and comfortable accessing different types of data storage and file formats.
• Data tooling: Familiarity with Oracle SQL, Python (requests, pandas, numpy, pyplot, and spark libraries), Bloomberg back-office-files, S3/Athena, Bloomberg Terminal and Bloomberg’s Excel API plug-in is helpful; exposure to solving problems/workflows using AI CLI, Airflow scheduling, is a bonus.
• Financial markets knowledge: You should be comfortable with financial instruments and markets well enough to understand what the data represents, particularly for futures, options, and crypto on all asset classes across global exchanges.
• Soft Skills: Calm under pressure, with strong critical thinking — able to assess the real impact of a request or problem and respond with the right level of urgency and context to pull in the correct teams.
• Communication: Comfortable fielding requests from a global, technical user base across Slack and email, and explaining data behavior clearly to non-technical and technical audiences alike.
• Process and governance: Experience building data governance rules/controls and writing runbook procedures for resolving support issues.

The annual base salary range for this position is $100,000 to $120,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.

For more information about DRW’s processing activities and our use of job applicants’ data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

[#LI-TL1]

Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work.

Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You’ll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we’d love to hear from you.

Our vision: A world where everyone is free to focus on their most purposeful work, together.

About the Role:

ou’ll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. We’re looking for a Product Analyst to help us better understand how customers use Wrike, identify product opportunities, and support better product decisions with data.

You’ll work closely with Product, Design, Engineering, and UXR throughout the product development lifecycle — from exploring customer problems and evaluating opportunities to defining success metrics and measuring the impact of released features.

This role goes beyond reporting numbers. We expect Product Analysts to understand why something is happening, why it matters, and what we should consider doing next — turning data into clear insights and actionable recommendations.

Our Work Style:

• Tech Stack: SQL (GBQ), Python, Tableau, Amplitude, Airflow
• Work Mode: Hybrid – 2 days in-office

Your Impact:

1. Discover and Evaluate Product Opportunities Explore customer behavior and product usage, size opportunities, investigate root causes, and turn findings into actionable insights and recommendations.
2. Assess and Measure Product Impact Estimate the potential impact of product initiatives, define meaningful success metrics and baselines, and evaluate whether released changes deliver the expected customer and business value.
3. Run Experiments and Product Research Design and analyze experiments and quantitative research, selecting appropriate methods and data sources and clearly communicating limitations and confidence in the results.
4. Turn Data into Product Insights Investigate adoption, engagement, conversion, and changes in user behavior. Go beyond what happened to explain why it matters and what teams should consider doing next.
5. Build Analytics for Scale Create dashboards, reusable analyses, documentation, and automation that make recurring questions easier to answer and help teams use data more effectively.
6. Partner with Product Teams Bring an analytical perspective to product discussions, communicate findings clearly, challenge assumptions when needed, and help teams make evidence-informed decisions.
7. Use AI to Work Smarter Use AI responsibly to accelerate analytical work and improve analytical workflows.

Your Qualifications:

• 2+ years of experience in product, data, business analytics, or a similar analytical role
• Strong SQL skills and experience with analytical databases; Google BigQuery is a plus
• Experience with BI tools (Looker / Tableau)
• Good understanding of statistics, experimentation, and A/B testing
• Ability to independently drive analytical projects from understanding the question to delivering insights and recommendations
• Strong problem-solving skills and ability to connect data to customer, product, and business context
• Ability to validate data and assumptions and recognize limitations in evidence
• Ability to balance analytical depth, speed, and business needs
• Strong communication and collaboration skills
• Experience using AI tools to improve analytical workflows and productivity, with a critical approach to validating outputs.
• Upper-Intermediate or better English

Standout Qualities:

• Python skills for data analysis
• Experience with Amplitude
• Experience with advanced analytical methods such as regression, clustering, or causal inference
• Experience with product discovery or opportunity assessment
• Experience building AI-enabled analytical workflows, automations, or reusable AI solutions.

Team Dynamics:

You’ll join a team of experienced Product Analysts working closely with Product and R&D teams. We use data not only to measure what happened, but to understand customer behavior, identify opportunities, and help teams make better product decisions.

We value curiosity, analytical rigor, ownership, business thinking, and collaboration, while continuously looking for ways to make analytics more scalable through reusable approaches, automation, and AI.

What’s Next?

• Exploratory call with recruiter
• Home task assignment
• Technical Interview
• Culture Interview

If you’re passionate about understanding how and why customers use products and want your analysis to influence real product decisions, we’d love to hear from you.

Perks & Benefits:

• 25 calendar days of paid vacation
• Sick Leave Compensation (5 Paid Uncertified Sick Days)
• Parental Leave: 18 Weeks Maternity / 4 Week Paternity
• 2 Volunteer Days
• Medical Insurance (Employees + Dependents)
• Hybrid Working Model
• School Allowance (Up to €600/month for school aged kids)
• Simcard w/ Unlimited Internet Access for active employees
• Office Lunch Allowance (via Wolt) on Wednesdays / Thursday

Your recruitment buddy will be Alexandra Vorobyova, Lead Recruiter.

#LI-AV1

Who Is Wrike and Our Culture

We’re a team of innovators and creators who solve the complex work problems of today and tomorrow.

Hybrid work mode

Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations.

While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection.

Our persona

💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched.

💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too!

🤗  Approachable: We’re friendly, easy to get along with, considerate, and helpful.

Our culture and Values

🤩 Customer-Focused

We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.

🤝 Collaborative

We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.

🎨 Creative

We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.

💪 Committed

We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.

Check out our LinkedIn Life Page, Company culture page, Instagram, Wrike Engineering Team, Medium, Meetup.com, Youtube for a feel for what life is like at Wrike.

At Roofr, we’re obsessed with our customers. We constantly gather feedback to shape, prioritize, and launch the products they truly need. That’s what makes Roofr’s CRM special. We started by building essential sales tools like aerial roof measurements and digital sales proposals. But when our customers asked for a simple, affordable way to manage and scale their entire businesses, we listened. So, we created a CRM that connects these solutions—along with payments, material ordering, and more—into a seamless, powerful platform. With a clear roadmap ahead, we’re excited to continue expanding and leading the market with innovative products.

We have an amazing culture, strong financials, and best-in-class company metrics. It’s an exciting time to be part of an extraordinary startup that is already successful, yet still early enough to offer its team significant growth, equity, and the opportunity to make a real impact.

This position is for an existing vacancy.

As a Staff Data Scientist at an early-stage, high-growth company, you’ll play a critical role in turning raw data into insights and apps that shape strategy, fuel growth, and improve the customer experience. You’ll have a direct hand in the decisions that move the business, not just the reports that describe it.

This isn’t a “run the numbers and hand off a deck” role. You’ll be partnering directly with senior leaders and an experienced data & analytics team to drive data science and experimentation initiatives across sales, marketing, and product areas — putting both traditional analysis and ML to effect change.

What You’ll Get to Do:

• Architect optimization analyses and forecasts that help leaders pinpoint opportunities across Growth, Strategy, Revenue, Marketing, and Product teams.
• Partner directly with executive leadership, translating complex analysis into clear, actionable decisions and process changes.
• Design counterfactual analyses and A/B tests to enable data-driven evolution of our UX, product features and customer experience.
• Build data apps that automate and supercharge our sales and marketing processes.
• Own your projects end-to-end — from framing the business question to shipping the model to presenting the recommendation, with the autonomy to decide how you get there.
• Work on top the same semantic layer and DBT models powering our AI-driven analytics stack (Snowflake Cortex, Sigma, Claude, etc.), so your analyses build on a single-source-of-truth data.
• Create data science frameworks — templates and guides that data practitioners across the org can leverage and build upon.

What You’ll Bring to the Role:

• 7+ years of experience in data science in a fast-moving business setting, with a track record of running the show on ambiguous, high-stakes problems.
• Hands-on experience with a modern cloud data stack — Snowflake, DBT, and various BI tools (Sigma, Looker, Metabase, Omni, or similar).
• Strong SQL and statistical modeling skills, with a track record of building forecasting and causal inference models.
• A love of documentation and Git — you enable others to build on top of your work..
• You appreciate scalable data models — you contribute to the shared semantic layer, and let the whole org benefit.
• You’re just as excited to hack together a scrappy new analysis or app as you are to build scalable products that meet stringent quality standards.

Who You Are:

• Self-driven and organized, with the ability to manage projects across cross-functional stakeholder groups with minimal oversight, keeping everyone updated on progress and next steps.
• You don’t wait for direction — you spot the opportunity, make the case, and drive it through.
• An amazing communicator and presenter, equally comfortable in a room with executive leadership or heads-down in the data.
• A true team player — you love brainstorming, peer reviews, and pressure-testing ideas.
• You’re in it for the journey, not just the destination.

Compensation Band: $140,000.00 - $160,000.00 CAD

Our compensation ranges are built using multiple market benchmarks and reflect both the scope of the role and current market data. While many hires fall within the beginning to midpoint of the band to allow for growth over time, we tailor offers based on each candidate’s experience, seniority, and demonstrated impact.

🏠 What we offer (US + Canada)

When you join our team, you’re not just accepting a job. You’re making a career move. Here’s how we’ll support you in doing some of the most impactful work of your career:

🏝️ Vacation/Paid Time Off:

• 1st week of employment is mandatory PTO! Start your journey with Roofr by decompressing and recharging - we will see you in week 2!
• 1 Friday off per month (we call those our laundry days!)
• Company wide paid shutdown for the week between Christmas and New Years
• Flexible time off
• 80% employer-paid benefits in the U.S. and 100% employer-paid premiums for Extended Healthcare and Dental in Canada
• RRSP/401k match
• Generous Parental Leave policy

🤝 Perks:

• We host an annual company retreat with great team building activities
• Ample learning and development opportunities to continue growing your career
• Home office setup stipend
• Internet and phone allowance
• Remote first culture
• Weekly Friday paydays!

🤖 AI Notice

At Roofr, we’re big fans of AI. It helps us write job descriptions that don’t put you to sleep, takes notes during interviews so we can actually listen, and even helps us track down awesome humans like you.

Feel free to use AI to prep, research, or get pumped up for your interview (we see you, ChatGPT power users 👀). But when it’s time to chat, we’d love to meet you, not your AI alter ego. Bring your real, unfiltered self, we promise we will too.

And don’t worry, a real, live human is behind every part of our process. Every application is reviewed by a real person, and you’ll always speak with real humans throughout the interview process. No bots, just good people ☺️

⚠️ Important Notice

We’ve been made aware of an individual impersonating Roofr using a fraudulent domain: roofrr.com (note the extra “r”). Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses, instant messaging platforms, or unsolicited calls.

To ensure your application is legitimate, please apply directly through our official careers page: https://roofr.com/careers.

If you receive any suspicious messages or have questions, reach out to us at talent@roofr.com.

Your safety and security are important to us — thank you for your vigilance!

Roofr is proud to be an equal opportunity employer. We are committed to equal employment opportunity in the workplace regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status.

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it’s how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

As a Data Analyst, Stewardship you will play an integral role in all operational aspects of onboarding, managing and maintaining various datasets used by traders and quantitative researchers. You will work closely with a variety of stakeholders, including technology, front office, operations, research, and risk management. You should be comfortable investigating complex data support issues in a fast-paced environment

About the Role

This role is built around production support: Keeping EOD valuation data and reference data used for PnL production running correctly, and being the person who catches, diagnoses, and fixes data problems before they flow to downstream applications. You’ll work across a global support queue, troubleshoot financial instrument reference and valuation data, and partner with engineering to turn recurring fixes into solutions.

Location: Hybrid schedule. Can sit in our Chicago or Houston office.  Remote may be possible for the right candidate.

Hours: This role has non traditional hours.  10:30am-7:30pm Central time.

What You’ll Do

• Monitor and support the production of EOD valuation data and reference data used for PnL, including coverage during evening hours to bridge global support windows.
• Respond to global requests via Slack and email to create, update, and troubleshoot financial instrument reference data.
• Investigate and explain why and how data appears the way it does — tracing issues back through source systems, feeds, and business logic.
• Diagnose data problems quickly under pressure and build ad-hoc scripts or tooling to resolve them.
• Work across reference data and valuation data stores and related reference data tooling.
• Escalate and collaborate with engineering and other Data Management teams on systemic issues.

What We’re Looking For

• Technical skills: Proficiency in SQL and Python, with hands-on experience troubleshooting data issues or writing ad-hoc scripts to fix problems quickly, standing up tactical fixes in a scheduling environment, building data quality metric reports, and comfortable accessing different types of data storage and file formats.
• Data tooling: Familiarity with Oracle SQL, Python (requests, pandas, numpy, pyplot, and spark libraries), Bloomberg back-office-files, S3/Athena, Bloomberg Terminal and Bloomberg’s Excel API plug-in is helpful; exposure to solving problems/workflows using AI CLI, Airflow scheduling, is a bonus.
• Financial markets knowledge: You should be comfortable with financial instruments and markets well enough to understand what the data represents, particularly for futures, options, and crypto on all asset classes across global exchanges.
• Soft Skills: Calm under pressure, with strong critical thinking — able to assess the real impact of a request or problem and respond with the right level of urgency and context to pull in the correct teams.
• Communication: Comfortable fielding requests from a global, technical user base across Slack and email, and explaining data behavior clearly to non-technical and technical audiences alike.
• Process and governance: Experience building data governance rules/controls and writing runbook procedures for resolving support issues.

The annual base salary range for this position is $100,000 to $120,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.

For more information about DRW’s processing activities and our use of job applicants’ data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

[#LI-TL1]

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it’s how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

As a Data Analyst, Stewardship you will play an integral role in all operational aspects of onboarding, managing and maintaining various datasets used by traders and quantitative researchers. You will work closely with a variety of stakeholders, including technology, front office, operations, research, and risk management. You should be comfortable investigating complex data support issues in a fast-paced environment

About the Role

This role is built around production support: Keeping EOD valuation data and reference data used for PnL production running correctly, and being the person who catches, diagnoses, and fixes data problems before they flow to downstream applications. You’ll work across a global support queue, troubleshoot financial instrument reference and valuation data, and partner with engineering to turn recurring fixes into solutions.

Location: Hybrid schedule. Can sit in our Chicago or Houston office.  Remote may be possible for the right candidate.

Hours: This role has non traditional hours.  10:30am-7:30pm Central time.

What You’ll Do

• Monitor and support the production of EOD valuation data and reference data used for PnL, including coverage during evening hours to bridge global support windows.
• Respond to global requests via Slack and email to create, update, and troubleshoot financial instrument reference data.
• Investigate and explain why and how data appears the way it does — tracing issues back through source systems, feeds, and business logic.
• Diagnose data problems quickly under pressure and build ad-hoc scripts or tooling to resolve them.
• Work across reference data and valuation data stores and related reference data tooling.
• Escalate and collaborate with engineering and other Data Management teams on systemic issues.

What We’re Looking For

• Technical skills: Proficiency in SQL and Python, with hands-on experience troubleshooting data issues or writing ad-hoc scripts to fix problems quickly, standing up tactical fixes in a scheduling environment, building data quality metric reports, and comfortable accessing different types of data storage and file formats.
• Data tooling: Familiarity with Oracle SQL, Python (requests, pandas, numpy, pyplot, and spark libraries), Bloomberg back-office-files, S3/Athena, Bloomberg Terminal and Bloomberg’s Excel API plug-in is helpful; exposure to solving problems/workflows using AI CLI, Airflow scheduling, is a bonus.
• Financial markets knowledge: You should be comfortable with financial instruments and markets well enough to understand what the data represents, particularly for futures, options, and crypto on all asset classes across global exchanges.
• Soft Skills: Calm under pressure, with strong critical thinking — able to assess the real impact of a request or problem and respond with the right level of urgency and context to pull in the correct teams.
• Communication: Comfortable fielding requests from a global, technical user base across Slack and email, and explaining data behavior clearly to non-technical and technical audiences alike.
• Process and governance: Experience building data governance rules/controls and writing runbook procedures for resolving support issues.

The annual base salary range for this position is $100,000 to $120,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.

For more information about DRW’s processing activities and our use of job applicants’ data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

[#LI-TL1]

Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work.

Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You’ll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we’d love to hear from you.

Our vision: A world where everyone is free to focus on their most purposeful work, together.

About the Role:

ou’ll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. We’re looking for a Product Analyst to help us better understand how customers use Wrike, identify product opportunities, and support better product decisions with data.

You’ll work closely with Product, Design, Engineering, and UXR throughout the product development lifecycle — from exploring customer problems and evaluating opportunities to defining success metrics and measuring the impact of released features.

This role goes beyond reporting numbers. We expect Product Analysts to understand why something is happening, why it matters, and what we should consider doing next — turning data into clear insights and actionable recommendations.

Our Work Style:

• Tech Stack: SQL (GBQ), Python, Tableau, Amplitude, Airflow
• Work Mode: Hybrid – 2 days in-office

Your Impact:

1. Discover and Evaluate Product Opportunities Explore customer behavior and product usage, size opportunities, investigate root causes, and turn findings into actionable insights and recommendations.
2. Assess and Measure Product Impact Estimate the potential impact of product initiatives, define meaningful success metrics and baselines, and evaluate whether released changes deliver the expected customer and business value.
3. Run Experiments and Product Research Design and analyze experiments and quantitative research, selecting appropriate methods and data sources and clearly communicating limitations and confidence in the results.
4. Turn Data into Product Insights Investigate adoption, engagement, conversion, and changes in user behavior. Go beyond what happened to explain why it matters and what teams should consider doing next.
5. Build Analytics for Scale Create dashboards, reusable analyses, documentation, and automation that make recurring questions easier to answer and help teams use data more effectively.
6. Partner with Product Teams Bring an analytical perspective to product discussions, communicate findings clearly, challenge assumptions when needed, and help teams make evidence-informed decisions.
7. Use AI to Work Smarter Use AI responsibly to accelerate analytical work and improve analytical workflows.

Your Qualifications:

• 2+ years of experience in product, data, business analytics, or a similar analytical role
• Strong SQL skills and experience with analytical databases; Google BigQuery is a plus
• Experience with BI tools (Looker / Tableau)
• Good understanding of statistics, experimentation, and A/B testing
• Ability to independently drive analytical projects from understanding the question to delivering insights and recommendations
• Strong problem-solving skills and ability to connect data to customer, product, and business context
• Ability to validate data and assumptions and recognize limitations in evidence
• Ability to balance analytical depth, speed, and business needs
• Strong communication and collaboration skills
• Experience using AI tools to improve analytical workflows and productivity, with a critical approach to validating outputs.
• Upper-Intermediate or better English

Standout Qualities:

• Python skills for data analysis
• Experience with Amplitude
• Experience with advanced analytical methods such as regression, clustering, or causal inference
• Experience with product discovery or opportunity assessment
• Experience building AI-enabled analytical workflows, automations, or reusable AI solutions.

Team Dynamics:

You’ll join a team of experienced Product Analysts working closely with Product and R&D teams. We use data not only to measure what happened, but to understand customer behavior, identify opportunities, and help teams make better product decisions.

We value curiosity, analytical rigor, ownership, business thinking, and collaboration, while continuously looking for ways to make analytics more scalable through reusable approaches, automation, and AI.

What’s Next?

• Exploratory call with recruiter
• Home task assignment
• Technical Interview
• Culture Interview

If you’re passionate about understanding how and why customers use products and want your analysis to influence real product decisions, we’d love to hear from you.

Perks & Benefits:

• 25 calendar days of paid vacation
• Sick Leave Compensation (5 Paid Uncertified Sick Days)
• Parental Leave: 18 Weeks Maternity / 4 Week Paternity
• 2 Volunteer Days
• Medical Insurance (Employees + Dependents)
• Hybrid Working Model
• School Allowance (Up to €600/month for school aged kids)
• Simcard w/ Unlimited Internet Access for active employees
• Office Lunch Allowance (via Wolt) on Wednesdays / Thursday

Your recruitment buddy will be Alexandra Vorobyova, Lead Recruiter.

#LI-AV1

Who Is Wrike and Our Culture

We’re a team of innovators and creators who solve the complex work problems of today and tomorrow.

Hybrid work mode

Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations.

While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection.

Our persona

💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched.

💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too!

🤗  Approachable: We’re friendly, easy to get along with, considerate, and helpful.

Our culture and Values

🤩 Customer-Focused

We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.

🤝 Collaborative

We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.

🎨 Creative

We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.

💪 Committed

We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.

Check out our LinkedIn Life Page, Company culture page, Instagram, Wrike Engineering Team, Medium, Meetup.com, Youtube for a feel for what life is like at Wrike.

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Who We Are: SmithRx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug...

Headquarters: Brazil
URL: http://lawnstarter.com

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $750M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services, operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Analytics at LawnStarter

We're a small, senior analytics team supporting the entire company, product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together, the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase.

Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them, which is exactly the job we're hiring for.

The Role

You'll be the first person at LawnStarter dedicated to data governance, the owner of whether our data can be trusted, and of the roadmap that makes it more trustworthy every quarter. Trust means the quality and freshness of our source data, pipelines, and reports; the definitions behind our metrics; the standards behind our Segment event tracking; the health of our Lightdash workspace; the data feeding our machine learning models; and the security of the data itself. The roadmap means sitting with product, marketing, ops, and finance to understand what the business needs from data, turning that into priorities for the platform, and sequencing the work, yours and, soon, your team's.

This is a hands-on role, every manager at LawnStarter builds, and this one is no exception. You'll start solo, with the Analytics team around you: building automation, writing checks, fixing what's broken, and putting processes in place that scale past you. Once you've landed, we open a Lead Analytics Engineer role reporting to you, you'll help choose them, and the function grows from there as scope demands.

What makes this role different:

• You're first. Governance has been everyone's side job, so what exists today is yours to reshape, keep what works, redesign what doesn't, and your standards become the company's standards.
• You own the roadmap, not a backlog. Nobody hands you requirements, you discover what the business needs from data and decide what gets built, in what order, and why.
• Whole-stack ownership. Source data to pipelines to dashboards and ML models, you own trust across the entire chain, not one slice of it.
• A live migration to shape. Lightdash is landing now. You get to set up its permissions, structure, and norms before bad habits form, instead of untangling them later.

What You'll Own

• The data roadmap - discovering what product, marketing, ops, and finance need from data, prioritizing it against platform health, and sequencing the investment. You'll present it, defend it, and re-plan it as the business moves.
• Data quality and freshness - automated monitoring across source data, pipelines, and reports; catching upstream schema and source changes before they break anything downstream; running incidents to resolution when they happen.
• Data lineage and impact analysis - a living map from production source to warehouse model to dashboard, and the process that uses it: when a production change is proposed, its downstream impact on pipelines, metrics, and reports gets assessed before it ships, not discovered after. The end-state is data contracts with engineering, so breaking changes get caught in their workflow, not ours.
• Lightdash - administration, workspace structure, permissions, and the rollout itself. Your job is to give the company self-serve autonomy while keeping the workspace tidy enough that people can find and trust what's there. Enablement is part of the deal, people follow standards they've been taught, and so is keeping queries fast and warehouse costs sane.
• The semantic layer - we just shipped it for our most critical metrics: one governed definition per metric, in code. You'll extend definition and mapping to the rest and guard the layer against uncontrolled growth as it scales.
• Event tracking governance - our governed Segment event catalog: reviewing new events against its standards, keeping it matched to what production actually sends, and evolving the guardrails (naming, property dictionary, drift detection) as tracking grows.
• AI data readiness - AI agents query our warehouse every day through Brain, our internal AI toolkit. You'll govern what data AI tools can access and keep the warehouse AI-legible: documented, consistent, and safe for an agent to query and get the right answer.
• Data security and privacy - access controls, PII handling and retention under US state privacy laws, and periodic reviews of who, and which AI tools, can see what.
• The governance system itself - the documentation, ownership models, and review loops that keep all of the above running without heroics.

Problems to Solve

Turn business needs into a data roadmap Every area of the company wants something from data, and today those asks reach the Analytics team as a stream of interruptions. You'll build the intake and prioritization that turns them into a roadmap , one that balances stakeholder needs against platform health, survives contact with a changing business, and that your stakeholders can see themselves in. The hard part: saying "not yet" to important people, with a reason they respect.

Make the Lightdash migration a step-change, not a re-platforming We're replacing Tableau and Metabase with Lightdash. Done poorly, we trade two messy tools for one messy tool. You'll design the structure, spaces, permissions, certification, naming, that lets stakeholders self-serve at the speed the company needs without creating an uncontrolled dashboard-growth nightmare. The hard part: autonomy and tidiness pull in opposite directions, and you have to deliver both.

Finish and defend the semantic layer We just shipped our semantic layer for our most critical metrics, one governed definition per metric, so "two dashboards, two numbers" can't happen. The unglamorous truth: a long tail of metrics still needs definition and mapping, and a semantic layer only stays trustworthy if someone curbs its growth. You'll own both, extending coverage and keeping one-metric-one-definition true as the layer scales.

Tame event-tracking entropy Segment events power our funnels and product analytics, and they're implemented by many engineers across many teams. The guardrails exist, a governed event catalog with naming standards, a property dictionary, a review lifecycle, and automated drift detection against production. What's missing is a dedicated owner: someone who holds every new event to the standard, keeps the catalog matched to what production actually sends, and evolves the guardrails as tracking grows. Without that, entropy wins, events drift and silently degrade when features change.

Get ahead of breakage instead of chasing it Today, when production data changes upstream, we too often find out when a pipeline breaks or a stakeholder flags a wrong number. You won't start from zero, an AI-powered Analytics Engineer agent already runs freshness monitoring, metric anomaly detection, and dbt-based lineage checks, but it doesn't yet run at the scale or coverage we need. You'll take detection from partial to comprehensive, extend lineage beyond dbt (Segment events and Lightdash need stitching in), and wire it into engineering's change review, so a proposed production change comes with a downstream impact assessment instead of a postmortem. The end-state is data contracts: breaking changes caught in engineering's workflow, not ours.

What Success Looks Like (Year 1)

• Zero pipeline incidents from unannounced source-data changes - lineage and automation catch them before they break anything downstream, and production changes ship with an impact assessment instead of a postmortem.
• Zero freshness incidents - stakeholders never open a stale dashboard.
• Every area of the business manages on official, well-maintained metrics and dashboards - product, marketing, ops, and finance self-serve in Lightdash against a fully mapped semantic layer; Tableau and Metabase are retired; arguments about whose number is right don't happen. Not because you built the dashboards - because you built the system that keeps them trustworthy.
• Every Segment event has an owner and a standard - new events ship compliant, and degradation gets caught automatically, not by accident.
• Governance runs as a system - documented processes that would survive you taking a month off.

Requirements

Who You Are

• Governance is your craft, not your chore. You genuinely enjoy making data systems trustworthy and tidy, you're the person who can't leave a broken naming convention alone. This is unlikely to be a good fit if you see governance as a stepping stone to "real" analytics work.
• AI-native. You use AI tools (Claude Code, Copilot, ChatGPT) daily to build quality checks, write automation, triage anomalies, and document as you go, one person covering ground that used to take a team. You also see the reverse direction: AI agents consume our data daily, and making the warehouse safe and legible for them is part of governance now. This is unlikely to be a good fit if you're skeptical of AI tools or prefer to do everything manually.
• A hands-on manager. You've been accountable for other people's output, allocating their time, owning their priorities, and you never stopped building yourself. You write the SQL, debug the Airflow DAG, and configure the permissions personally. This is unlikely to be a good fit if seniority took you away from the keyboard, or if you've never been responsible for anyone's work but your own.
• Product-minded. You start from what the business is trying to decide, not from what the pipeline does, and you can turn a vague stakeholder ask into a prioritized plan. This is unlikely to be a good fit if you need requirements handed to you, or if roadmap conversations feel like a distraction from the real work.
• Automation-first. Your instinct for any recurring check is to build a monitor, not a checklist. This is unlikely to be a good fit if your quality practice depends on manual review and discipline.
• An enforcer people actually like. You'll hold engineers and analysts you don't manage to standards, which takes clear rules, good tooling that makes compliance easy, and the spine to say no gracefully. This is unlikely to be a good fit if you avoid friction or, at the other extreme, enjoy being the department of no.

This Role Is NOT

• A big-team leadership role. You start solo and then hire a Lead Analytics Engineer who reports to you; the team grows only as scope demands. If you want to direct a large org rather than build alongside a small one, this isn't it.
• A policy or committee job. There are no governance councils to chair and no binders to produce. When something's broken, you fix it, with code, config, or a conversation.
• A BI analyst role. You won't spend your days building dashboards for stakeholders. You build the platform and guardrails that let everyone else do that well.
• A finished system to babysit. Much of this doesn't exist yet. If you want to operate a mature data platform rather than build one, you'll be frustrated here.

Tech You'll Touch

• Warehouse & pipelines - Redshift, dbt, Airflow
• Ingestion - Fivetran, plus custom Airflow pipelines
• Event tracking - Segment
• BI - Lightdash (primary), Tableau and Metabase (sunsetting)
• AI tooling - Claude Code, Codex, Brain (our internal AI toolkit), and any tool that makes you more effective or efficient
• Observability - an AI-powered Analytics Engineer agent (freshness monitoring, anomaly detection, dbt lineage) you'll scale up, plus the quality and impact tooling you'll add around it

You don't need every box checked. You need hands-on depth in the warehouse/pipeline layer and credible experience keeping a BI tool and tracking plan healthy at company scale.

Benefits

• Base salary: $75k-$120k/year
• Fully remote: This work needs deep focus, building monitors, untangling pipelines, and we trust you to manage your environment. Async collaboration is the norm.
• Flexible PTO: We focus on results. Take what you need.

LawnStarter provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. We comply with applicable state and local laws governing nondiscrimination in employment.

To apply: https://weworkremotely.com/remote-jobs/lawnstarter-analytics-engineering-manager-data-platform-governance

Headquarters: Mexico
URL: http://lawnstarter.com

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $750M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services, operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Analytics at LawnStarter

We're a small, senior analytics team supporting the entire company, product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together, the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase.

Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them, which is exactly the job we're hiring for.

The Role

You'll be the first person at LawnStarter dedicated to data governance, the owner of whether our data can be trusted, and of the roadmap that makes it more trustworthy every quarter. Trust means the quality and freshness of our source data, pipelines, and reports; the definitions behind our metrics; the standards behind our Segment event tracking; the health of our Lightdash workspace; the data feeding our machine learning models; and the security of the data itself. The roadmap means sitting with product, marketing, ops, and finance to understand what the business needs from data, turning that into priorities for the platform, and sequencing the work, yours and, soon, your team's.

This is a hands-on role, every manager at LawnStarter builds, and this one is no exception. You'll start solo, with the Analytics team around you: building automation, writing checks, fixing what's broken, and putting processes in place that scale past you. Once you've landed, we open a Lead Analytics Engineer role reporting to you, you'll help choose them, and the function grows from there as scope demands.

What makes this role different:

• You're first. Governance has been everyone's side job, so what exists today is yours to reshape, keep what works, redesign what doesn't, and your standards become the company's standards.
• You own the roadmap, not a backlog. Nobody hands you requirements, you discover what the business needs from data and decide what gets built, in what order, and why.
• Whole-stack ownership. Source data to pipelines to dashboards and ML models, you own trust across the entire chain, not one slice of it.
• A live migration to shape. Lightdash is landing now. You get to set up its permissions, structure, and norms before bad habits form, instead of untangling them later.

What You'll Own

• The data roadmap - discovering what product, marketing, ops, and finance need from data, prioritizing it against platform health, and sequencing the investment. You'll present it, defend it, and re-plan it as the business moves.
• Data quality and freshness - automated monitoring across source data, pipelines, and reports; catching upstream schema and source changes before they break anything downstream; running incidents to resolution when they happen.
• Data lineage and impact analysis - a living map from production source to warehouse model to dashboard, and the process that uses it: when a production change is proposed, its downstream impact on pipelines, metrics, and reports gets assessed before it ships, not discovered after. The end-state is data contracts with engineering, so breaking changes get caught in their workflow, not ours.
• Lightdash - administration, workspace structure, permissions, and the rollout itself. Your job is to give the company self-serve autonomy while keeping the workspace tidy enough that people can find and trust what's there. Enablement is part of the deal, people follow standards they've been taught, and so is keeping queries fast and warehouse costs sane.
• The semantic layer - we just shipped it for our most critical metrics: one governed definition per metric, in code. You'll extend definition and mapping to the rest and guard the layer against uncontrolled growth as it scales.
• Event tracking governance - our governed Segment event catalog: reviewing new events against its standards, keeping it matched to what production actually sends, and evolving the guardrails (naming, property dictionary, drift detection) as tracking grows.
• AI data readiness - AI agents query our warehouse every day through Brain, our internal AI toolkit. You'll govern what data AI tools can access and keep the warehouse AI-legible: documented, consistent, and safe for an agent to query and get the right answer.
• Data security and privacy - access controls, PII handling and retention under US state privacy laws, and periodic reviews of who, and which AI tools, can see what.
• The governance system itself - the documentation, ownership models, and review loops that keep all of the above running without heroics.

Problems to Solve

Turn business needs into a data roadmap Every area of the company wants something from data, and today those asks reach the Analytics team as a stream of interruptions. You'll build the intake and prioritization that turns them into a roadmap , one that balances stakeholder needs against platform health, survives contact with a changing business, and that your stakeholders can see themselves in. The hard part: saying "not yet" to important people, with a reason they respect.

Make the Lightdash migration a step-change, not a re-platforming We're replacing Tableau and Metabase with Lightdash. Done poorly, we trade two messy tools for one messy tool. You'll design the structure, spaces, permissions, certification, naming, that lets stakeholders self-serve at the speed the company needs without creating an uncontrolled dashboard-growth nightmare. The hard part: autonomy and tidiness pull in opposite directions, and you have to deliver both.

Finish and defend the semantic layer We just shipped our semantic layer for our most critical metrics, one governed definition per metric, so "two dashboards, two numbers" can't happen. The unglamorous truth: a long tail of metrics still needs definition and mapping, and a semantic layer only stays trustworthy if someone curbs its growth. You'll own both, extending coverage and keeping one-metric-one-definition true as the layer scales.

Tame event-tracking entropy Segment events power our funnels and product analytics, and they're implemented by many engineers across many teams. The guardrails exist, a governed event catalog with naming standards, a property dictionary, a review lifecycle, and automated drift detection against production. What's missing is a dedicated owner: someone who holds every new event to the standard, keeps the catalog matched to what production actually sends, and evolves the guardrails as tracking grows. Without that, entropy wins, events drift and silently degrade when features change.

Get ahead of breakage instead of chasing it Today, when production data changes upstream, we too often find out when a pipeline breaks or a stakeholder flags a wrong number. You won't start from zero, an AI-powered Analytics Engineer agent already runs freshness monitoring, metric anomaly detection, and dbt-based lineage checks, but it doesn't yet run at the scale or coverage we need. You'll take detection from partial to comprehensive, extend lineage beyond dbt (Segment events and Lightdash need stitching in), and wire it into engineering's change review, so a proposed production change comes with a downstream impact assessment instead of a postmortem. The end-state is data contracts: breaking changes caught in engineering's workflow, not ours.

What Success Looks Like (Year 1)

• Zero pipeline incidents from unannounced source-data changes - lineage and automation catch them before they break anything downstream, and production changes ship with an impact assessment instead of a postmortem.
• Zero freshness incidents - stakeholders never open a stale dashboard.
• Every area of the business manages on official, well-maintained metrics and dashboards - product, marketing, ops, and finance self-serve in Lightdash against a fully mapped semantic layer; Tableau and Metabase are retired; arguments about whose number is right don't happen. Not because you built the dashboards - because you built the system that keeps them trustworthy.
• Every Segment event has an owner and a standard - new events ship compliant, and degradation gets caught automatically, not by accident.
• Governance runs as a system - documented processes that would survive you taking a month off.

Requirements

Who You Are

• Governance is your craft, not your chore. You genuinely enjoy making data systems trustworthy and tidy, you're the person who can't leave a broken naming convention alone. This is unlikely to be a good fit if you see governance as a stepping stone to "real" analytics work.
• AI-native. You use AI tools (Claude Code, Copilot, ChatGPT) daily to build quality checks, write automation, triage anomalies, and document as you go, one person covering ground that used to take a team. You also see the reverse direction: AI agents consume our data daily, and making the warehouse safe and legible for them is part of governance now. This is unlikely to be a good fit if you're skeptical of AI tools or prefer to do everything manually.
• A hands-on manager. You've been accountable for other people's output, allocating their time, owning their priorities, and you never stopped building yourself. You write the SQL, debug the Airflow DAG, and configure the permissions personally. This is unlikely to be a good fit if seniority took you away from the keyboard, or if you've never been responsible for anyone's work but your own.
• Product-minded. You start from what the business is trying to decide, not from what the pipeline does, and you can turn a vague stakeholder ask into a prioritized plan. This is unlikely to be a good fit if you need requirements handed to you, or if roadmap conversations feel like a distraction from the real work.
• Automation-first. Your instinct for any recurring check is to build a monitor, not a checklist. This is unlikely to be a good fit if your quality practice depends on manual review and discipline.
• An enforcer people actually like. You'll hold engineers and analysts you don't manage to standards, which takes clear rules, good tooling that makes compliance easy, and the spine to say no gracefully. This is unlikely to be a good fit if you avoid friction or, at the other extreme, enjoy being the department of no.

This Role Is NOT

• A big-team leadership role. You start solo and then hire a Lead Analytics Engineer who reports to you; the team grows only as scope demands. If you want to direct a large org rather than build alongside a small one, this isn't it.
• A policy or committee job. There are no governance councils to chair and no binders to produce. When something's broken, you fix it, with code, config, or a conversation.
• A BI analyst role. You won't spend your days building dashboards for stakeholders. You build the platform and guardrails that let everyone else do that well.
• A finished system to babysit. Much of this doesn't exist yet. If you want to operate a mature data platform rather than build one, you'll be frustrated here.

Tech You'll Touch

• Warehouse & pipelines - Redshift, dbt, Airflow
• Ingestion - Fivetran, plus custom Airflow pipelines
• Event tracking - Segment
• BI - Lightdash (primary), Tableau and Metabase (sunsetting)
• AI tooling - Claude Code, Codex, Brain (our internal AI toolkit), and any tool that makes you more effective or efficient
• Observability - an AI-powered Analytics Engineer agent (freshness monitoring, anomaly detection, dbt lineage) you'll scale up, plus the quality and impact tooling you'll add around it

You don't need every box checked. You need hands-on depth in the warehouse/pipeline layer and credible experience keeping a BI tool and tracking plan healthy at company scale.

Benefits

• Base salary: $75k-$120k/year
• Fully remote: This work needs deep focus, building monitors, untangling pipelines, and we trust you to manage your environment. Async collaboration is the norm.
• Flexible PTO: We focus on results. Take what you need.

LawnStarter provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. We comply with applicable state and local laws governing nondiscrimination in employment.

To apply: https://weworkremotely.com/remote-jobs/lawnstarter-analytics-engineering-manager-data-platform-governance-1

Headquarters: Remote

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

The Community You Will Join:

You will join a collaborative team of data scientists, analysts, engineers, product managers and designers who build innovative products for Airbnb guests and hosts. Your core team will consist of data scientists within the Guest & Host Data Science organization, who develop models, measurement frameworks, foundational data products, and intelligence to improve and shape Airbnb marketplace and product. 

The Difference You Will Make:

Under this general application, you will be considered for applications over several tracks.

• Pricing Data Science - Responsible for developing a pricing guidance system for hosts, as well as methods (experimental and observational) to measure the impact of pricing feature launches.
• Guest and Host Product Data Science - Responsible for building optimized products, tools, and programs that empower our hosts to thrive on our platform and our guests to easily discover and book stays that match their needs. 
• Marketplace Data Science - Responsible for building data products, inference frameworks, and intelligence to enable the growth of our marketplace. 

As a data scientist on the team, you will directly impact the Airbnb user community and marketplace with the data products and insights you deliver. Your work may range from building models to understand the impact of supply and demand on marketplace outcomes, to applying causal inference methods to measure the impact of a new pricing guidance tool, to generating destination recommendations based on our understanding of guest travel preferences. 

A Typical Day: 

• Building strong relationships with cross-functional partners across Product, Design, Engineering, and Analytics to drive collaboration and innovation.
• Contribute directly to the development and launch of data-driven products and models, leveraging AI tools to enhance efficiency and impact.
• Writing software in Python, SQL, or R to model, simulate, and measure the impact of new features, applying advanced causal inference techniques where necessary.
• Analyzing structured or unstructured data to uncover meaningful insights and craft actionable proposals that help shape strategy.
• Communicating learnings to leaders and stakeholders in a clear, compelling manner that drives informed data-driven decision making.

Your Expertise:

• 5+ years of experience with BS/masters degree, 2+ years of experience with PhD.
• Experience with experimentation, causal observational analysis, and machine learning techniques.
• Experience partnering with product, engineering, and design to enable data-driven model or product development.
• Ability to prototype, build, and scale derived data assets.
• Strong coding skills in SQL and either Python or R.
• Strong oral and written communication skills - an ability to communicate complex technical concepts to a non-technical audience.
• Work authorization (if applicable)
• Travel requirements (if applicable)

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. 

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. 

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. 

 

How We'll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.  

Pay Range$179,000—$210,000 USD

To apply: https://weworkremotely.com/remote-jobs/airbnb-senior-data-scientist-guest-host

At Instructure, we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning...

Who We Are: SmithRx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug...

About Us

Red Cell Partners is an incubation firm building and investing in rapidly scalable technology-led companies that are bringing revolutionary advancements to market in three distinct practice areas: healthcare, cyber, and national security. United by a shared sense of duty and deep belief in the power of innovation, Red Cell is developing powerful tools and solutions to address our Nation’s most pressing problems.

This role will support DEFCON AI.

About the Triad Modernization Advisor Role

DEFCON AI is modeling how risk cascades across the nuclear Triad. When a schedule slips, a cost estimate breaches, or capacity comes up short in one program, the consequences rarely stay in that program. We make those second and third order effects visible early enough for a decision maker to do something.

We are looking for a Triad Modernization Advisor to bring firsthand nuclear enterprise experience to that effort. You will be the person on the team who can look at a model result and say whether it reflects how the enterprise actually behaves, and who can get the underlying data into shape when it arrives messy.

This is a 1099 consulting engagement of up to 20 hours per week. The role is primarily on-site in the Offutt AFB area, with some work performed remotely.

What you will do:

Triad Expertise:

• Apply firsthand expertise in nuclear triad modernization to sharpen and validate our optimization models and decision support tools
• Pressure-test model assumptions and outputs against how the enterprise plans, programs, and executes in reality
• Work alongside an interdisciplinary team of optimization and simulation experts to design, build, and refine models that deliver real-world decision support
• Partner directly with customers, product leadership, and external stakeholders

Data:

• Organize, clean, and translate acquisition planning and budget datasets tied to legacy system sustainment and modernization programs
• Interpret and visualize data on program cost, schedule, and performance
• Reconcile data that arrives from multiple sources in different formats and may not agree with itself

What we are looking for

• Firsthand experience in nuclear triad modernization. You have held program, requirements, resourcing, or operational planning responsibility inside one or more of these efforts.
• Working command of the nuclear enterprise. Planning processes, acquisition programs, and the funding mechanisms behind them, including planning, programming, budgeting, and execution (PPBE) and program objective memorandum (POM) rhythms, milestone decisions, and appropriation categories.
• Executive-level results. You have been accountable for analysis that informed resourcing or program decisions, and you have briefed and defended it at the O6, flag, or SES level.
• Systems thinking. You can trace an effect across program, budget, and operational boundaries.
• Communication in both directions. You can be useful to a modeler debugging an assumption in the morning and to a senior operational customer in the afternoon.
• Clearance. Active Secret or above.
• Location. Offutt Air Force Base commuting area.

Bonus points

• Experience at or above the O4/GS-13 level in a Combatant Command J5, J8, or similar organization
• Background in consulting, systems engineering, operational planning, or mission-focused solution development
• Experience within operational commands, service headquarters, Joint Staff, OSW, or defense innovation organizations
• Modeling, simulation, or operations research experience

Our Red Cell Partners Benefits (may differ for each incubation):

For full-time roles

• Career track opportunity with potential for rapid advancement with strong performance as the firm grows

• 100% employer paid, comprehensive health care including medical, dental, and vision for you and your family.

• Paid maternity and paternity for 14 weeks at employees’ normal pay.

• Unlimited PTO, with management approval.

• Opportunities for professional development and continued learning.

• Optional 401K, FSA, and equity incentives available.

• Mental health benefits are available through Tara Mind.

• Cost effective GLP-1 solutions available through Crux.

We’re an Equal Opportunity Employer: You’ll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.

Applicant Data Disclosure

By submitting an application, you acknowledge that Red Cell Partners, LLC (“Red Cell”) uses third-party service providers to facilitate its recruitment and hiring processes. These providers include applicant tracking systems, candidate verification platforms, and fraud detection tools (collectively, “Hiring Platforms”). Your application materials, including your résumé, cover letter, work samples, responses to application questions, and any other information you submit, may be transmitted to and processed by these Hiring Platforms for the following purposes:

• Managing and administering your application throughout the hiring process;

• Verifying the accuracy and authenticity of application materials, including by cross-referencing information you provide against publicly available sources and proprietary databases;

• Identifying indicators of potentially fraudulent, fabricated, or materially misleading application content, including but not limited to discrepancies between submitted materials and publicly available professional profiles, geographic anomalies, and fabricated work histories.

Applications that are flagged through this process as containing indicators of fraud or material misrepresentation may be declined from further consideration. If you have questions about the status of your application or the evaluation process, please contact talent @redcellpartners.com .

Red Cell requires its Hiring Platform providers to process your information solely for the purposes described above and in accordance with applicable law. Your information will be retained only for as long as necessary to fulfill these purposes and any applicable legal obligations, after which it will be deleted in accordance with Red Cell’s data retention policies.

For more information about how your data is used, please refer to our Privacy Policy and Applicant Privacy Notice.

Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.

We’re growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Why phData?

• Snowflake Implementation Partner of the Year — 7 consecutive years, and 2026 Snowflake AI Partner of the Year
• AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network
• 2025 Fivetran Partner of the Year (4th consecutive year)
• 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status
• 2026 KNIME Customer Excellence Partner of the Year
• Preferred Partner in the Anthropic Claude Partner Network
• #1 Partner in Snowflake Advanced Certifications
• 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
• Recognized as an award-winning workplace in the US, India and LATAM

You’ll play a key role in helping clients embed governance and stewardship into their daily work. This is a hands-on role focused on executing governance activities, supporting metadata cataloging, and applying practical data quality controls. Just as important, this person will act as a communicator and facilitator—helping form working groups, align business and technical teams, and coach client staff on how to take ownership as data stewards.

Core Responsibilities

• Support the design of tailored data governance programs, with recommendations on processes, team structure, decision rights and boundaries.
• Design policies and controls for effective data governance execution.
• Bring a modern perspective on the design and rollout of data governance.
• Communicate governance concepts in clear business language; prepare presentations, training materials, and adoption guides.
• Facilitate data governance working groups to drive alignment between business and technology stakeholders.
• Execute metadata management activities such as cataloging, lineage capture, and stewardship workflows.
• Partner with business teams to draft and maintain business rules, definitions, and data quality controls.
• Apply data quality processes such as profiling, monitoring, and issue management, ensuring rules are practical and adopted.
• Support the installation, configuration, rollout and adoption of governance/metadata tools (e.g., Collibra, Alation, Atlan, Purview).
• Coach client staff on data stewardship practices—showing them how to govern their data effectively and sustainably.
• Provide input on access controls, privacy, and compliance with regulations (GDPR, CCPA, etc.)
• Collaborate with data engineers, analysts, and business owners to embed governance into daily workflows, platform pipelines, modeling practices, and observability.
• Metadata Tools & Platform Enablement
  • Install and configure metadata/catalog tools in client environments.
  • Build and curate catalogs, including ingestion of technical metadata, business glossaries, and lineage.
  • Define user personas and design role-appropriate experiences (data stewards, data owners, analysts, engineers).
  • Tailor tool UX (workflows, dashboards, search optimization) to improve usability and adoption.

Required Qualifications

• 5+ years of experience in data governance, metadata management, and MDM roles.
• Hands-on experience with MDM tools (Semarchy, Profisee, Informatica, or equivalent).
• Exposure to data quality tools and processes (Talend, Ataccama, or equivalent).
• Strong communication skills: able to facilitate workshops, write clear business documentation, and present to mixed audiences.
• Demonstrated ability to define and obtain alignment for definition, business rules and data quality controls.
• Familiarity with governance operating models and stewardship practices.
• Knowledge of privacy regulations (GDPR, CCPA) and how governance practices support compliance
• Bachelor’s degree in Information Systems, or related field (or equivalent work experience)
• Willingness to travel up to 50% per month (10 of 20 business days) when required by our clients

Preferred Skills

• Experience leading or supporting data governance working groups or stewardship councils.
• Knowledge of data access provisioning, integration patterns, or lineage capture.
• Experience building adoption materials, training guides, or playbooks for governance programs.
• Prior client-facing consulting experience.

phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.

We’re growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Why phData?

• Snowflake Implementation Partner of the Year — 7 consecutive years, and 2026 Snowflake AI Partner of the Year
• AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network
• 2025 Fivetran Partner of the Year (4th consecutive year)
• 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status
• 2026 KNIME Customer Excellence Partner of the Year
• Preferred Partner in the Anthropic Claude Partner Network
• #1 Partner in Snowflake Advanced Certifications
• 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
• Recognized as an award-winning workplace in the US, India and LATAM

We’re looking for a talented Analytics Consultant to help our customers gain tangible value from their data. Our consulting services emphasize analytics enablement, data preparation, and data science. We specialize in Tableau, Power BI, Sigma, Alteryx, KNIME, Power Platform and Snowflake.

Responsibilities:

• Gather client requirements through prototyping, refining them as needed during the engagement.
• Execute consulting engagements successfully, delivering high-quality project outcomes.
• Manage client expectations through weekly status updates and proactive feedback sessions.
• Collaborate with clients to develop scalable, durable analytics solutions using tools such as KNIME, Alteryx, and similar low-code/No-code tools along with hands-on experience in SQL, Snowflake, Python and other data sources
• Creating Standard workflows, Components, Data App and automated reports in KNIME.
• Creating Standard workflows, Analytical apps, reusable Macros and automated reports in Alteryx.
• Certification in Advanced level in both KNIME and Alteryx.
• Collaborate with project leads to manage team time effectively and provide clear project timelines to the Analytics Project Manager, sales team, and leadership.
• Partner with the sales team to identify additional sales opportunities within client accounts and assist in account growth and expansion.
• Collaborate with marketing to identify consultants for blog posts and webinars aligned with the consultant’s expertise.
• Mentor associate consultants ensuring alignment with job descriptions and fostering professional growth.
• Drive organic growth of accounts and relationships, fostering extensions and new business opportunities with existing clients.

Required Experience:

• 2-6 years of relevant experience and/or demonstrated expertise in data analytics and data visualization platforms
• Expertise in data preparation using KNIME or Alteryx, or other tools such as Matillion, Dataiku, Coalesce
• Proven experience to create scalable, durable analytics solutions
• Demonstrated expertise in data fluency and communicating to business users
• Knowledge of SQL and experience leveraging data warehouse, data marts, and/or data models
• Exceptional customer facing skills, including but not limited to communication and project management
• Strong problem solving skills with a passion for learning and mastering new technologies, techniques, and procedures

Preferred Experience:

• 2+ years of Consulting experience in Delivering  solutions using Alteryx or Knime.
• Experience working with connecting to data sources like SAP, Snowflake, AWS,Azure,  Databricks, SharePoint etc.
• Experience with Python and/or R Scripting

Why phData? We offer:

• Remote-First Workplace
• Medical Insurance for Self & Family
• Term Life & Personal Accident
• Wellness Allowance
• Broadband Reimbursement
• Continuous learning and growth opportunities to enhance your skills and expertise
• Other benefits include paid certifications, professional development allowance, and bonuses for creating for company-approved content

phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees?

Syndio is the leading pay governance and compensation intelligence platform. We help organizations make better pay decisions at every stage of the compensation lifecycle, from leveling and offers to promotions and merit. Our platform gives HR, compensation, and finance leaders the data and decision support they need to govern pay fairly, compliantly, and with confidence. We partner with many of the world’s most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance and analyzing pay for over 10 million employees across the world.

Join us in our mission to help companies make smarter pay decisions they can trust!

About the role

We are looking for a Staff Data Scientist, Data Products to serve as a senior analytical and product partner across Syndio’s product and data-product portfolio. You will own measurement strategies for our product platform, translate usage and business data into product decisions, and help turn those signals — together with pay-equity, policy, job architecture, market, and workforce data — into customer-facing analytical products.

This is a high-autonomy, high-visibility staff role. You will lead ambiguous, cross-functional work from opportunity discovery through methodology, validation, production, and launch; partner with Product, Data Science, Engineering, Privacy, Legal, Sales, and Customer Success; and set standards for analytical rigor, interpretability, data quality, and responsible data use. The role is an individual contributor position with broad influence.

Why this job is exciting

Product Measurement & Decision Support

• Own measurement strategies for Syndi’s core user workflows — including offer endorsement, approval, and acceptance — defining events, metrics, and success criteria that guide product decisions.
• Partner with engineering to design and validate event instrumentation for new features, ensuring tracking is accurate, consistent, and privacy-safe from the start.
• Conduct deep-dive analyses into feature adoption, workflow completion, user engagement, customer outcomes, and operational patterns to surface actionable insights.
• Build and maintain production-grade dashboards and self-serve reporting in Mixpanel, BigQuery, and BI tooling that give product teams and senior leaders visibility into product health.
• Translate complex, ambiguous usage data into clear, prioritized recommendations for technical, product, and executive audiences.

Data Product Development

• Define and lead analytical strategies for new compensation and workforce data products that make Syndio more valuable, differentiated, and difficult to replicate.
• Identify high-value opportunities to combine Syndio’s aggregated and anonymized first-party data with compensation market data, job-posting and skills data, and other third-party sources.
• Develop diagnostics that measure compensation governance and execution health, including policy-versus-practice gaps, job-architecture health, governance adoption, strategic alignment, and overpayment risk.
• Lead complex initiatives from early exploration and hypothesis formation through analytical validation, productionization, commercialization, and launch.
• Evaluate whether proposed data products are analytically defensible, interpretable, commercially valuable, privacy-preserving, and responsible to use.
• Contribute to the give-to-get data strategy by identifying which product and customer signals can strengthen Syndio’s broader data assets over time.

Cross-functional Leadership & Standards

• Serve as a senior analytical partner in product discovery, sprint planning, roadmap discussions, business reviews, and product planning cycles.
• Partner with Data Science on experiment design, causal analysis, model evaluation, and measurement of model-assisted workflows.
• Work with Customer Success and Sales to connect product usage and data-product insights to customer value, health, and renewal risk.
• Establish and champion standards for event data, analytical quality, documentation, interpretability, privacy, and responsible data use.
• Provide technical and analytical leadership to other practitioners, raise data literacy across the product organization, and build self-serve capability.

About you

• 8+ years of experience in product analytics, data science, analytics engineering, or a closely related role, including substantial experience supporting software products and/or developing analytical products.
• Proficiency with AI-assisted development tools and workflows, using them to accelerate analysis, prototyping, code generation, documentation, and data-product development while validating outputs and exercising sound judgment.
• Familiarity with emerging AI and BI innovation — including natural-language interfaces, automated insights, semantic layers, and agentic workflows — and the ability to evaluate where these capabilities can improve analytical products and customer experiences.
• A track record of setting direction and leading complex, cross-functional initiatives with significant product or business impact.
• Deep proficiency in SQL and strong working proficiency with Python, R, or a comparable analytical language.
• Advanced knowledge of statistical measurement, benchmarking, experimentation, data modeling, segmentation, data quality assessment, and analytical validation.
• Experience designing event schemas, product measurement strategies, funnels, dashboards, and self-serve reporting using tools such as Mixpanel, Amplitude, Looker, Tableau, or equivalent.
• Experience combining large, imperfect datasets into analytically defensible, interpretable, and commercially valuable products or insights.
• Exceptional judgment and comfort operating in ambiguous, evolving problem spaces; able to determine when approximation is appropriate and when precision is required.
• Ability to influence senior stakeholders, communicate complex methodologies clearly, and drive alignment across technical and non-technical audiences.

Extra Credit

• Experience instrumenting or evaluating a GenAI-native product, including model-assisted workflows.
• Deep familiarity with compensation, pay equity, workforce planning, labor-market data, job architecture, skills taxonomies, or people analytics.
• Experience with compensation surveys, job-posting data, privacy-preserving analytics, or third-party data licensing and governance.
• Familiarity with GDPR/CCPA and related privacy considerations for user-level event data and aggregated or anonymized customer data.

Why you’ll love it here:

• 💰 Competitive Compensation. For this role our salary is targeted at $180,000 -$205,000 per year. Final offer amounts are determined by factors such as experience and expertise. We take a geo neutral approach to compensation within the US, meaning that we pay based on job function and level, not location.
• 🏆  Syndio Equity. So you can share in Syndio’s success.
• 🏝  Flexible Vacation Policy. We encourage our team to recharge when they need to, plus paid sick & safe time, compassion leave, and voting leave.
• Paid parental leave
• 🩺  Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents.
• 🏥  Life Insurance & Disability. Syndio covers the full premium.
• 🏦 401(k). To help you save for your future
• Fully remote model - #LI-Remote

The interview overview

Below you’ll find an outline of the interview plan for our Staff Data Science position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision.

• 30 min interview with a member of our Talent Team
• 45 minute zoom interview with the Hiring Manager
• Three video interviews with several team members
• Final interviews with executive

At Syndio, we’re building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we’d love to talk with you even if you don’t 100% meet the “about you” listed here. We don’t expect anyone to have all the answers, as long as you’re willing to learn and grow with us.

Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.

About Lyra

Lyra Health is the leading provider of mental health solutions for employers supporting more than 20 million people globally. The company has delivered 13 million sessions of mental health care, published more than 20 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions.

Role Overview:

Location: Remote, Malaysia

Hours:  Monday to Friday, 9am to 5pm MYT

Flexibility: Must be flexible to attend meetings outside standard local working hours to accommodate global clients and teams on occasion

Global-hours: On request, 10pm MYT calls are part of the global hours. This is a global role and may require occasional evening meetings to accommodate US and other international time zones.

Primary areas of responsibility:

• Collaborate with stakeholders from stakeholder departments to gather and document business requirements related to enterprise systems processes and functionality

• Write functional requirement documentation to guide the development process, contribute to the writing of development tickets

• Effectively communicate any changes, updates, or enhancements to the Salesforce system to key stakeholders, ensuring they are well-informed and prepared for any impacts to their operations

• Contribute to the project management of new feature builds and rollouts on the international Salesforce system, ensuring work is completed to schedule to business requirements

• Analyse existing system and business processes with stakeholders and identify opportunities for improvement and increased efficiency within the system

• Provide guidance for user training and support of the system, manage a ‘train the trainer’ model

Required & Preferred experience:

• To successfully perform in this role, the candidate will need good working knowledge of the  following:

• 5+ years experience years proven experience as a business analyst (or in technical project management), including 5+ years of experience working with Salesforce

• Strong understanding of Salesforce configuration and capabilities

• Competency and familiarity with Agile development methodologies

• Experience with Salesforce data analysis, reporting and dashboards

“We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.

By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra.  We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR.  Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives.  If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form.  This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact [email protected]. For more information about how we use and retain your information, please see our Workforce Privacy Notice.”

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, summarizing interviews, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.

We’re growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Why phData?

• Snowflake Implementation Partner of the Year — 7 consecutive years, and 2026 Snowflake AI Partner of the Year
• AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network
• 2025 Fivetran Partner of the Year (4th consecutive year)
• 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status
• 2026 KNIME Customer Excellence Partner of the Year
• Preferred Partner in the Anthropic Claude Partner Network
• #1 Partner in Snowflake Advanced Certifications
• 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
• Recognized as an award-winning workplace in the US, India and LATAM

You’ll play a key role in helping clients embed governance and stewardship into their daily work. This is a hands-on role focused on executing governance activities, supporting metadata cataloging, and applying practical data quality controls. Just as important, this person will act as a communicator and facilitator—helping form working groups, align business and technical teams, and coach client staff on how to take ownership as data stewards.

Core Responsibilities

• Support the design of tailored data governance programs, with recommendations on processes, team structure, decision rights and boundaries.
• Design policies and controls for effective data governance execution.
• Bring a modern perspective on the design and rollout of data governance.
• Communicate governance concepts in clear business language; prepare presentations, training materials, and adoption guides.
• Facilitate data governance working groups to drive alignment between business and technology stakeholders.
• Execute metadata management activities such as cataloging, lineage capture, and stewardship workflows.
• Partner with business teams to draft and maintain business rules, definitions, and data quality controls.
• Apply data quality processes such as profiling, monitoring, and issue management, ensuring rules are practical and adopted.
• Support the installation, configuration, rollout and adoption of governance/metadata tools (e.g., Collibra, Alation, Atlan, Purview).
• Coach client staff on data stewardship practices—showing them how to govern their data effectively and sustainably.
• Provide input on access controls, privacy, and compliance with regulations (GDPR, CCPA, etc.)
• Collaborate with data engineers, analysts, and business owners to embed governance into daily workflows, platform pipelines, modeling practices, and observability.
• Metadata Tools & Platform Enablement
  • Install and configure metadata/catalog tools in client environments.
  • Build and curate catalogs, including ingestion of technical metadata, business glossaries, and lineage.
  • Define user personas and design role-appropriate experiences (data stewards, data owners, analysts, engineers).
  • Tailor tool UX (workflows, dashboards, search optimization) to improve usability and adoption.

Required Qualifications

• 5+ years of experience in data governance, metadata management, and MDM roles.
• Hands-on experience with MDM tools (Semarchy, Profisee, Informatica, or equivalent).
• Exposure to data quality tools and processes (Talend, Ataccama, or equivalent).
• Strong communication skills: able to facilitate workshops, write clear business documentation, and present to mixed audiences.
• Demonstrated ability to define and obtain alignment for definition, business rules and data quality controls.
• Familiarity with governance operating models and stewardship practices.
• Knowledge of privacy regulations (GDPR, CCPA) and how governance practices support compliance
• Bachelor’s degree in Information Systems, or related field (or equivalent work experience)
• Willingness to travel up to 50% per month (10 of 20 business days) when required by our clients

Preferred Skills

• Experience leading or supporting data governance working groups or stewardship councils.
• Knowledge of data access provisioning, integration patterns, or lineage capture.
• Experience building adoption materials, training guides, or playbooks for governance programs.
• Prior client-facing consulting experience.

phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.