The RoleThe Data Analyst supports the Clinical Operations Analytics team by producing clear analyses, dashboards, and reports that guide clinical and operational decisions. The role uses SQL and BI tools to explore datasets across claims, ADT/HIE, FHIR, Elevate, and other business systems, and derives insights for internal leaders and customer-facing reviews. The analyst also helps maintain accurate data models and monitors data quality across core reporting assets.
Key responsibilities of this role may include:• Collaborate with operational stakeholders (Product, Engineering, Clinical, and Engagement) to clarify analytic needs and define requirements.
• Build clear analyses, visuals, and dashboards using datasets such as claims, pharmacy, FHIR, Elevate, and other internal tools.
• Prepare customer-facing summaries that show Tuesday Health impact, support JOC materials, and track progress toward SLAs.
• Assist with data model development by creating well-documented transformations and partner with Analytics Engineering to ensure models stay accurate and aligned with reporting needs.
• Monitor data quality for dashboards and reports. Flag anomalies, locate root causes, and coordinate with cross-functional teams to reduce downstream reporting issues.
A strong candidate will demonstrate the following:• Care about improving healthcare and Tuesday's mission.
• Tell clear stories with data and simplify complex ideas for non-technical audiences.
• Show comfort in a fast-moving, fluid environment.
• Enjoy creating clean, thoughtful visuals and slides.
• Approach work with curiosity and willingness to dig.
• Maintain a high bar for accuracy and quality.
Skills and ExperienceRequired:- Proficiency with SQL
- Proficiency with one or more BI tools (ThoughtSpot, Tableau, Looker, PowerBI, etc.)
- 2-4 years in healthcare analytics or a related data role
- Experience building dashboards or recurring reporting that supports operations
Nice-To-Have:- Experience analyzing and transforming data in Python
- Familiarity with dbt and analytics engineering best practices
- Experience with Databricks, Snowflake, or similar cloud data platforms
- Experience with healthcare datasets (e.g. claims, ADT/HIE)
- Experience with git for version control
What We Offer- Competitive compensation, reflecting our commitment to attracting, retaining, and motivating the best talent in the industry
- Comprehensive benefits including medical, dental, vision, and life insurance, paid time off and holidays, employer 401(K) match, etc.
- Remote work with multiple onsite sessions each year to maximize collaboration and team building
- A dynamic and inclusive team environment where you can lean on your teammates, offer candid feedback, bring your true self to work each day, and deliver tremendous impact while having fun along the way
- Meaningful work each day; we care deeply about our mission, our patients, and each other
If you are passionate about improving the quality of care for seriously ill individuals and their caregivers through innovative solutions, we would love to hear from you.