W
WHOOP
Senior Analytics Engineer
Skills
SQL QueriesData EngineeringData ScienceSnowflakeData AnalysisMachine LearningAIdbt
2 months ago
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Important information
Salary:
$150,000 – $215,000 / year
Location:
Boston, MA, USA
Work mode:
Onsite
Published on:
1 October 2026
What they need
Who you are
- Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, or a related technical field, or equivalent practical experience
- 5+ years of experience designing and building production data solutions with a strong emphasis on analytics engineering, data modeling, or data product development
- Expert-level SQL skills and extensive experience designing dimensional models and analytical data structures that balance usability, performance, and maintainability
- Professional experience building data transformation frameworks using dbt or similar modern data transformation tools
- Strong understanding of semantic modeling, metric design, and data governance principles, with experience creating trusted business-facing datasets
- Experience working with modern cloud data warehouses such as Snowflake and partnering with data engineering teams to build scalable analytical solutions
- Demonstrated ability to lead complex cross-functional initiatives, balancing technical excellence with business outcomes and stakeholder needs
- Experience mentoring engineers and influencing technical standards through design reviews, documentation, and collaborative leadership
- Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences and build alignment across diverse stakeholder groups
- Passion for treating data as a product, with a strong focus on usability, quality, discoverability, and long-term maintainability
- Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions
- Interested in the role, but don’t meet every qualification? We encourage you to still apply
What the job involves
- WHOOP is hiring a Senior Analytics Engineer to build trusted, reusable data products that power decision-making across the company
- Sitting at the intersection of software engineering, analytics, and product thinking, you will transform raw data into well-modeled, discoverable, and governed data products that accelerate experimentation, machine learning, operational reporting, and strategic decision-making
- You will partner closely with Product, Analytics, Data Science, Engineering, and business stakeholders to ensure WHOOP has a consistent, trusted foundation for understanding its data
- As a senior member of the team, you'll help establish modern data product practices while mentoring others and raising the bar for engineering quality across the organization
- Design, build, and own business-critical data products, transforming raw operational data into trusted, reusable datasets that enable analytics, experimentation, and machine learning
- Develop scalable dimensional models, semantic layers, and dbt transformations that create consistent business logic and trusted metrics across WHOOP
- Partner closely with Product, Analytics, Data Science, and Engineering teams to understand business needs, translate ambiguous requirements into well-designed data products, and ensure those products evolve alongside the business
- Establish engineering best practices for data modeling, testing, documentation, lineage, and governance, improving trust, discoverability, and maintainability across the analytical ecosystem
- Collaborate with Data Engineers and Analytics Engineers to improve upstream data quality, influence data contracts, and ensure reliable delivery of business-critical datasets
- Drive adoption of reusable data products and self-service analytics capabilities, reducing duplication of business logic and enabling teams to move faster with confidence
- Mentor engineers and analysts on modern data modeling techniques, engineering best practices, and data product thinking through technical leadership, design reviews, and collaborative problem solving
- Leverage AI tools to accelerate development, improve documentation, enhance data quality, and increase engineering productivity while maintaining rigorous validation, governance, and quality standards
Benefits
- Flexible Vacation: WHOOP has a flexible vacation policy that allows you to unwind, laptop-free, when you need it most.
- Focus on Family: We offer 18 weeks paid parental leave, plus an additional 2 weeks to gradually return to work.
- Get Invested: In addition to a competitive base salary and 401k, you're eligible to receive stock options to share in the future of WHOOP.
- WHOOP +1: Everyone on the team gets a complimentary WHOOP membership—plus another membership to share with a loved one.
- Health Matters: Our competitive benefits package covers medical, dental, and vision, in addition to mental health services, life and disability insurance, and more.
- Find Your Fit: Full-time employees get $500 a year to spend on wellness in whatever way they see fit, from fitness classes and memberships, to recovery services.
- It Pays to Sleep: Our Sleep Performance Program incentivizes employees to get more sleep. Log an average sleep performance of 85% or higher for the month and get a $100 bonus.
- Location, Location, Location: You can’t beat the views from the rooftop of One Kenmore Square. Feel inspired daily as you work, enjoy free snacks and coffee, and collaborate in the heart of Boston.
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