Director, Data Strategy & Analytics – Oncology Care

Reimagine Care

United States

Remote

USD 140,000 - 180,000

Full time

14 days+
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Benefits offered by this job

Remote work within US
Flexible work hours

Job summary

Reimagine Care seeks a Manager, Data Strategy & Analytics to lead day-to-day analytics delivery, KPI frameworks, and client reporting for oncology programs. You will write complex SQL, build Tableau dashboards, conduct outcomes analyses, and support commercial growth with data-driven materials.

This hands-on role blends analytical problem-solving with technical execution across Azure, Databricks, and BI workflows, with potential leveling to Director.

Qualifications

  • 5+ years of experience in healthcare analytics, health system strategy, or related fields.
  • Experience managing complex analytics projects or workstreams.
  • Proven ability to build outcomes measurement frameworks and executive reporting.
  • Strong SQL skills to write and validate production queries.
  • Proficiency with Tableau; knowledge of Databricks and Azure preferred.
  • Ability to translate data into clear findings for nontechnical audiences.

Responsibilities

  • Lead client performance analytics and outcomes reporting, delivering monthly and quarterly analyses.
  • Develop KPI frameworks covering enrollment, engagement, and AI safety.
  • Collaborate on analytics workflows across Azure, Databricks, and Tableau.
  • Build ROI models and data-driven materials for prospective clients.
  • Govern AI analytics components and track safety/accuracy metrics.
  • Coordinate cross-functional analytics priorities with Product, Engineering, and Commercial teams.

Skills

Healthcare analytics
SQL
Tableau
Databricks
Azure
AI governance
Independent work

Tools

Tableau
Databricks
Azure

Job description

Reimagine Care seeks a Manager, Data Strategy & Analytics to lead day-to-day analytics delivery, KPI frameworks, and client reporting for oncology programs. You will write complex SQL, build Tableau dashboards, conduct outcomes analyses, and support commercial growth with data-driven materials.

This hands-on role blends analytical problem-solving with technical execution across Azure, Databricks, and BI workflows, with potential leveling to Director.

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