Analytics Engineer

As an Analytics Engineer at WHOOP, your key responsibilities will include developing and optimizing data models in dbt to support finance processes, building and automating data pipelines for reconciliation and reporting, and collaborating with the Accounting and Finance teams to ensure data accuracy. You'll also implement data quality testing frameworks and document processes to support data governance.

To apply for the Analytics Engineer position at WHOOP, you need 2-4 years of experience in analytics engineering or a related field, advanced expertise in SQL and ETL optimization, familiarity with accounting principles, and hands-on experience with ERP systems like NetSuite. A detail-oriented mindset and the ability to collaborate effectively are also essential.

WHOOP supports its Analytics Engineers by fostering a collaborative work environment and providing technical guidance for Finance-related projects. You'll also have the chance to leverage self-service tools for reporting and analysis, which empowers you to develop your skills and contribute meaningfully to the team.

Yes, the Analytics Engineer role at WHOOP is based in Boston, MA, and candidates must be prepared to relocate if necessary. This allows you to be an integral part of our dynamic team and contribute directly to our mission in person.

At WHOOP, we pride ourselves on our inclusive and diverse environment. We value candidates who have the right character and passion for their work, regardless of whether they meet every qualification. We encourage open communication and collaboration, ensuring that everyone feels heard and valued.

In interviews, it’s crucial to discuss specific SQL projects you've worked on, focusing on your ability to manipulate and analyze financial data. Be prepared to share examples of complex queries you've executed or data transformations you’ve performed, showing your expertise and problem-solving skills.

When asked this question, discuss your strategies for data validation and the importance of implementing automated quality checks. Mention any tools or frameworks you've used to maintain data consistency and your approach to documenting processes to enhance data governance.

Home in on your hands-on experience with data modeling techniques specific to financial reporting. Highlight projects where you built models in dbt or used similar tools, discussing how those models supported business insights and financial operations.

This is an opportunity to emphasize your organizational and time management skills. Explain your approach to prioritizing tasks, using project management tools, and working collaboratively with team members to meet goals efficiently while maintaining high-quality standards.

Discuss the tools you're comfortable with, such as ETL platforms or specific technologies like Snowflake. Explain your reasoning for these choices, focusing on their efficiency, scalability, and how they have helped streamline data processes in your previous roles.

Interviewers are looking for problem-solving skills, so share a concrete example from your experience. Walk them through the challenge, your thought process, the actions you took to address it, and the positive outcome that resulted.

Demonstrate your commitment to continuous learning by discussing resources you use, such as online courses, webinars, or industry blogs. You can mention joining relevant communities or attending conferences to network with other professionals.

This is your chance to express genuine enthusiasm for WHOOP's mission. Articulate how WHOOP's focus on human performance resonates with you and how you believe your skills can contribute to meaningful outcomes for users.

Share your strategy for effective communication and collaboration with cross-functional teams. Discuss your willingness to learn about the finance team’s processes and how you’d ensure that both sides align on data requirements to achieve successful reconciliation.

Explain the importance of thorough documentation and your preferred methodologies. Discuss tools you might use for documenting processes, how you organize information for easy access, and your approach to maintaining up-to-date documentation as changes occur.