Data Analyst
Delan Associates · United States · US
Clinical Data Science
Remote
Not yet analysed
Demand78
Career growth72
Healthcare fit58
Remote potential50
5-year outlook
Likely stable mid-to-senior analytics compensation with upside for candidates who combine healthcare payer/provider data expertise with Databricks, Python, and governance skills; exact pay depends on location, employer type, and seniority.
Clinical license
Not required
Applicant reach
narrow
Seniority
senior
Employment type
–
Date found
2026-10-18
Intelligence details
Flexible work details
- Engagement type
- Contract
- Hours
- Variable hours
- Eligible countries
- United States
- Rate period
- Annual
Why this was classified this way
- Contractor
Listing via Himalayas.
Eligibility, licensing, and location restrictions can change. Always confirm details on the source posting before applying.
Why this is worth applying to
Worth applying only if you already have 6+ years of data analyst experience and healthcare claims/provider/revenue cycle data exposure. For clinicians seeking a first non-clinical role, this is a stretch and better as a target after building SQL, Python, and Databricks portfolio experience.
Who should apply
Clinicians who have already transitioned into data analytics, healthcare data analysts with payer/provider claims or revenue cycle experience, and clinical professionals with strong SQL/Python/Databricks skills and healthcare data governance exposure.
CV angle
Frame real healthcare experience around data-heavy projects: claims or revenue cycle analysis, provider/membership data, clinical data validation, reporting, data quality, and governance. Emphasize SQL, Python, Databricks, dashboarding, and any measurable improvements in data accuracy or reporting efficiency without inventing analytics experience.
Skills to highlight
- SQL
- Python
- Databricks
- Healthcare claims and revenue cycle data
- Data validation and profiling
- Data quality and governance
- Power BI or Tableau
- Stakeholder communication
Role summary
Experienced healthcare data analyst role requiring SQL, Python, Databricks, and domain knowledge in claims, membership, clinical, provider, or revenue cycle data to support analysis, validation, profiling, reporting, and data quality/governance.
We publish our own intelligence summary, never the full job description. Always confirm details with the employer when you apply.