Senior Data Analyst

About the role

The Senior Data Analyst will collaborate across clinical, product, and operations teams to scope and execute analytics projects, define reporting needs, and translate business questions into data-driven answers. They will analyze structured healthcare data to identify trends, monitor KPIs, and support clinical and operational initiatives. The ideal candidate will develop and maintain dashboards, visualizations, and recurring reports to provide transparency into performance and outcomes. They will also document methodologies, assumptions, and limitations for all analyses to ensure clarity and reproducibility.

Responsibilities

• Collaborate across clinical, product, and operations teams to scope and execute analytics projects, define reporting needs, and translate business questions into data-driven answers.
• Analyze structured healthcare data (e.g., claims, eligibility, prior authorization) to identify trends, monitor KPIs, and support clinical and operational initiatives.
• Conduct exploratory data analysis to uncover hidden patterns, correlations, and insights within medical claims data that inform hypothesis generation and strategic initiatives.
• Develop and maintain dashboards, visualizations, and recurring reports to provide transparency into performance and outcomes.
• Document methodologies, assumptions, and limitations for all analyses to ensure clarity and reproducibility.
• Contribute to a data culture that prioritizes accuracy, transparency, and business relevance.

Requirements

• 5–7 years of experience in data analysis, healthcare analytics, business intelligence, or a similar role.
• Experience working with healthcare data (e.g., claims, eligibility, HCCs, risk adjustment).
• Proficiency in SQL and experience querying relational databases; familiarity with dbt and Python is a plus.
• Experience with data visualization tools (e.g., Looker, Tableau, or similar).
• Strong Excel/Google Sheets skills for quick-turn modeling and reporting.
• Comfort working with ambiguity and evolving data sources; ability to validate, reconcile, and QA your own work.
• Strong communication skills—you can translate complex analysis into clear narratives for non-technical stakeholders.
• A mindset of ownership, humility, and continuous improvement.

Qualifications

• Master’s degree in a quantitative field such as statistics, computer science, or related field.
• Advanced proficiency in SQL and experience querying relational databases.
• Familiarity with dbt and Python.
• Experience with data visualization tools (e.g., Looker, Tableau, or similar).
• Strong Excel/Google Sheets skills for quick-turn modeling and reporting.
• Comfort working with ambiguity and evolving data sources; ability to validate, reconcile, and QA your own work.
• Strong communication skills—you can translate complex analysis into clear narratives for non-technical stakeholders.
• A mindset of ownership, humility, and continuous improvement.

Skills

• Data analysis and interpretation.
• SQL and database management.
• Data visualization and dashboard development.
• Collaboration and teamwork.
• Communication and presentation skills.

Benefits

• Full medical/dental/vision coverage.
• Paid time off.
• Employee-funded 401(k).

Pay

Competitive salary commensurate with experience.

Schedule

Remote work from anywhere in the United States.