Data Analyst

Your Impact

• Build Analytical Capacity: Create the frameworks, metric standards, and shared methodologies that empower partner teams to self-serve and unlock new, scalable use cases for insights.
• Shape our Analytical Rigor: Help define our standards for hypothesis testing, experimentation design, and statistical validation. Own the best practices for how we interpret data and ensure "truth" remains consistent as we grow.
• Drive Strategic Decisions: Partner with leaders to turn complex data into a clear path forward, providing the insights that help us decide what to build next and where to invest our resources.
• Uplift the Craft: Help partner teams design better experiments, interpret data more accurately, and ship better insights through technical guidance, documentation, and training.
• Scale the Insight Loop: Expand and maintain automated reporting, alerting, and validation processes that ensure we can monitor performance and identify trends with total confidence.
• Ensure Governance by Design: Integrate rigorous data integrity, privacy, and compliance standards into the analytical workflow, ensuring our insights are as secure as they are actionable.

Your Skillset

• 5+ years of professional experience in data analytics, with a track record of tackling complex problems and delivering high-stakes insights.
• Deep fluency in SQL, with the ability to write sophisticated, maintainable queries that serve as a foundation for reliable analysis.
• Strong proficiency in Python or R for advanced data manipulation, statistical modeling, and hypothesis testing.
• Comfortable exploring ambiguity and translating open-ended business questions into well-defined analytical solutions.
• Expertise in analytical methodology, including statistical validation, optimization models, and the ability to interpret trends within messy, multi-source data.
• Hands-on with modern visualization and dashboarding tools (e.g., Sigma, Hex, Tableau, or Looker) to build intuitive data assets and clear narratives.
• Mastery of communication, specifically the ability to translate technical findings into a clear path forward for product teams and executive leadership.
• Excited to help others grow in their use of data and level up the team's collective analytical rigor.

Nice-to-Haves

• Opportunities to develop skills in AI-assisted analytics, analytics engineering (dbt), advanced experimentation design, and in-depth healthcare data governance.