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Senior Data Analyst

Onos Health

Salary not specified
Sep 19, 2025
San Francisco, CA, US
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Onos Health is addressing the 30% of total U.S. healthcare spending wasted due to ineffective care and administrative burden caused by misalignment between providers and payers by building the largest AI-driven healthcare data platform.

Requirements

  • Strong SQL and data wrangling skills; comfortable working with large, messy datasets
  • Familiarity with healthcare data standards (claims, eligibility, EHR/clinical data, coding sets like ICD, CPT, HCPCS)
  • Experience building dashboards (Looker, Tableau, PowerBI, or similar) and communicating insights clearly
  • Proven ability to “own” both analysis and execution

Responsibilities

  • Data Exploration & Analysis: Dive deep into claims and clinical data to uncover trends, outliers, and actionable insights.
  • Client Delivery: Build and deliver analyses that highlight opportunities to reduce waste, improve care, and demonstrate value to payers.
  • Product Insights: Partner with product, engineering, and clinical teams to translate findings into product features, workflows, and automation.
  • Dashboards & Reporting: Design and maintain clear, impactful dashboards that track performance and outcomes.
  • Collaboration: Work closely with the CEO, CPO, and client teams to shape narratives and outcomes for health plan executives.
  • Lay the foundation for our data analytics infrastructure.
  • Take the lead in building analyses and dashboards that uncover waste, identify care gaps, and generate insights that directly inform our product roadmap and drive continuous improvement.

Other

  • 5+ years of experience as a data analyst (healthcare, health plans, or clinical data experience very strongly preferred)
  • Scrappy with an entrepreneurial mindset: resourceful, proactive, thrives in ambiguity, and moves fast
  • Excellent communication skills an ability to translate complex data into clear business insights
  • Exceptional references from colleagues and former managers
  • Hybrid: 2–3 days/week in office