Senior Data Analyst
About The Position
Onos Health is hiring a Senior Data Analyst to turn health plan data into customer-facing reporting, analyses, and insights. The role works hands-on with claims, authorization, eligibility, and clinical review data, building and maintaining analyses and dashboards that cover population utilization trends, provider variation, cost, and the impact of programs on the Onos platform. The analyst works closely with Data Science, Product, Engineering, Clinical Operations, and Customer Success. They independently own analyses from data exploration through presenting results to customer stakeholders, help convert repeatable analyses into standard product reporting, and contribute to consistent metric logic and reliable data quality. The position is based in San Francisco’s Financial District and requires working in the office three times per week (Monday, Tuesday, and Thursday).
Requirements
- At least 4 years of experience in healthcare analytics or a related analytical role.
- Hands-on experience with healthcare claims data.
- Strong SQL skills.
- Working proficiency in Python for data analysis.
- Ability to independently answer complex, ambiguous analytical questions.
- Experience building dashboards and reports using a BI or notebook tool.
- Solid understanding of descriptive statistics and common healthcare metrics such as PMPM, utilization per 1,000, and cost per member.
- Careful approach to data quality, including checking results before sharing them.
- Ability to explain analytical findings clearly to non-technical audiences.
- Proven experience working directly with customers or external stakeholders.
- Comfort working in ambiguity and building processes from the ground up.
- Exceptional references from colleagues and former managers.
Nice To Haves
- Experience with authorization, eligibility, or clinical data.
- Healthcare payer, provider, or health technology experience.
- Behavioral health experience.
Responsibilities
- Build and maintain customer-facing reports and dashboards covering utilization, cost, provider performance, and program outcomes.
- Analyze customer questions, including spend concentration, provider outliers, and program effects on utilization.
- Support ROI and impact analyses by preparing data, performing calculations, and checking results against agreed methodologies.
- Prepare findings for customer meetings and present results to health plan analytics and operational teams.
- Explore and analyze structured customer data feeds, including claims, authorizations, eligibility, and clinical documentation.
- Investigate data quality issues, anomalies, and inconsistencies with Engineering and customer teams to ensure accurate reporting.
- Partner with Data Engineering to define business logic and data requirements for downstream analytical workflows.
- Build checks that identify data issues before they reach customer reporting.
- Turn recurring customer analyses into standard metrics and reports for the platform.
- Help define metric logic and business rules to ensure consistency across customers and reports.
- Provide Product, Engineering, and Data Science with feedback on customer requests and reporting gaps.
- Collaborate with Data Science, Product, Engineering, Clinical Operations, and Customer Success on customer engagements and internal projects.
- Serve as a resource on customer data structures and what those data can support.
Benefits
- 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 the product and company.
- Regular team events and off-sites.
- Company-provided equipment and home office setup.
- In-office lunches and snacks provided.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
