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Senior Data Solutions Analyst

Highmark Health · United States · US

Health Tech
Remote
Not yet analysed
Demand78
Career growth72
Healthcare fit70
Remote potential55
Salary band
USD 86k – 139k
5-year outlook
Healthcare payer data analytics roles generally offer stable mid-to-senior compensation with growth into lead, data product, or management roles; exact salary depends on market and technical depth, so no figure is quoted.
Clinical license
Not required
Applicant reach
moderate
Seniority
senior
Employment type
full-time
Date found
2026-10-19

Intelligence details

Flexible work details

Engagement type
Permanent
Hours
Full-time
Eligible countries
United States
License jurisdiction
US
Rate period
Annual

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 considering for clinicians with real data/reporting, informatics, or healthcare operations experience who want a payer-side health tech role. Less suitable for clinicians without analytics, reporting, or project delivery exposure.

Who should apply

Clinicians with analytics/BI, informatics, quality reporting, or healthcare operations experience; nurses, doctors, pharmacists, and allied health professionals who have led data/reporting projects or worked with EHR, registry, or payer data.

CV angle

Frame clinical work as data-informed quality improvement: registries, audit/reporting, dashboards, requirements from clinical stakeholders, testing/validation, root-cause analysis, and compliance/risk awareness. Quantify scope and cross-functional collaboration without inventing technical experience.

Skills to highlight

  • data analysis
  • operational reporting
  • analytical dashboards
  • requirements gathering
  • test case development
  • root cause analysis
  • cross-functional collaboration
  • stakeholder management

Role summary

Senior analyst role supporting healthcare data and reporting products: gathering requirements, creating datasets/reports/dashboards, testing, resolving complex data issues, and leading cross-functional work with customers and technical teams.

We publish our own intelligence summary, never the full job description. Always confirm details with the employer when you apply.