Who We Are
Tuesday Health is a value-based palliative care provider group dedicated to transforming serious illness and end-of-life care. We deliver goal-centered care focused on alleviating physical symptoms and emotional stress for individuals and their caregivers. Our interdisciplinary care teams reduce avoidable hospitalizations and improve quality of life wherever individuals call home. Through our leading-edge care model, Tuesday Health is shaping the future of community-based palliative care nationwide.
The Role
The 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 Experience
Required:
- 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
- Exper