Location: San Francisco, CA (Hybrid: 2–3 days/week in office)
Type: Full-Time
Onos Health’s mission is simple but ambitious: ensure every healthcare dollar goes toward delivering the highest quality care. Today, 30% of total U.S. healthcare spending is wasted due to ineffective care and administrative burden caused by misalignment between providers and payers.
Onos is addressing this by building the largest AI-driven healthcare data platform. Our models enables payers to make faster, more accurate decisions across their populations. By guiding members to the right care, Onos is channeling more dollars to high-quality care that drives outcomes while making healthcare more affordable.
Onos recently closed a $6M Seed round with top-tier investors and is already working with some of the nation’s largest health plans, signing its first national plan just months after launch.
Come join a category-defining company and help reimagine healthcare for the better.
Meaningful impact: Help fix what is fundamentally broken in healthcare
Direct collaboration: Work alongside experienced founders with deep healthcare and data expertise
Culture: Join a high-performing, transparent, and results-oriented team
Ownership: Significant responsibility and autonomy from day one
Opportunity: Play a pivotal role in building a fast-growing, category-defining healthcare AI company
We’re looking for a Healthcare Data Analyst who thrives in a fast-moving startup, loves working with messy healthcare data, and gets things done. This is not a siloed analyst role; you’ll partner closely with product, engineering, and client-facing teams to turn data into insights that directly shape how payers manage care.
As Onos’ first data analyst, you’ll not only work hands-on with claims, clinical, and operational data to build analyses and dashboards, but also lay the foundation for our data analytics infrastructure. You will 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.
What you'll be doing at Onos:
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.
5+ years of experience as a data analyst (healthcare, health plans, or clinical data experience very strongly preferred)
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
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
Flexible hybrid arrangement: 2-3 days/week at San Francisco office (Financial District)
Unlimited vacation policy
Paid parental leave
Medical, dental, and vision insurance
Pre-tax commuter benefits
401(k)
Significant equity as an early employee
Direct mentorship from experienced founders
Ground-floor opportunity to help build a team and culture
Regular team events and offsites
Company-provided equipment and home office setup
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
MUFG is seeking an experienced Tableau Developer / AVP to own recurring credit risk reporting and deliver insightful, executive-level dashboards for senior risk stakeholders.
Carnegie Mellon University is hiring an Institutional Research and Student Affairs Assessment Specialist to design and execute research and assessment projects, analyze institutional and student affairs data, and deliver actionable insights to university leadership and stakeholders.