Senior Data Analyst

Warmada; San Francisco (CA); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

3x in-office per week (San Francisco)

Unlimited vacation

Parental leave

Medical, dental, and vision

Pre-tax commuter benefits

401(k)

Equity as an early employee

Mentorship from founders

Home office setup

In-office lunches and snacks

Job summary

Onos Health is seeking a Senior Data Analyst to convert health plan data into actionable reporting and insights. You will own analyses end-to-end, from data digging to presenting results to customer stakeholders, and help turn repeat analyses into standard product reporting.

You will work with data science, product, and customer teams to deliver impact on utilization, cost, and program outcomes, shaping reporting built into the platform.

Qualifications

• 4+ years of experience in healthcare analytics or a related analytical role.
• Hands-on experience with healthcare claims data; experience with authorization, eligibility, or clinical data is a plus.
• Strong SQL skills, working proficiency in Python for data analysis, and proven ability to independently answer complex, ambiguous analytical questions.
• Experience building dashboards and reports in a BI or notebook tool.
• Ability to explain analytical findings clearly to non-technical audiences.

Responsibilities

• Build and maintain customer-facing reports and dashboards covering utilization, cost, provider performance, and program outcomes.
• Run analyses that answer specific customer questions, such as where spend is concentrated, which providers are outliers, and how a program is affecting utilization.
• Support ROI and impact analyses by preparing data, running calculations, and checking results against agreed methodologies.
• Prepare findings for customer meetings and present results to analytics and operational teams at health plans.
• Turn recurring analyses into standard metrics and reports that can be built into the platform.
• Collaborate Across the Company with Data Science, Product, Engineering, Clinical Operations, and Customer Success on engagements.

Skills

SQL

Python (Analytics)

Dashboards

Communication

Tools

BI tools

Job description

About Onos Health

Onos Health’s mission is simple but ambitious: ensure every healthcare dollar goes toward delivering the highest quality care. Today, nearly 30% of 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 AI platform that enables health plans to understand clinical care at scale. By transforming unstructured clinical documentation into actionable insights, we help payers make faster, more informed decisions, identify opportunities to improve quality and reduce waste, and ensure more healthcare dollars are directed toward delivering better outcomes.

Come join a category-defining company and transform how healthcare is managed in the U.S.

Why Onos?

Meaningful impact: Help solve one of healthcare’s biggest challenges by improving quality while reducing waste.

Ownership: Take on significant responsibility from day one and shape a rapidly growing company.

Direct collaboration: Work alongside experienced founders with deep expertise in healthcare, AI, and product development.

High-performing team: Join a transparent, collaborative, and execution-focused culture.

Build something new: Help define the next generation of AI-powered healthcare analytics.

The Role

We’re looking for a Senior Data Analyst to turn health plan data into the reporting, analyses, and insights our customers rely on.

You’ll work hands-on with claims, authorization, eligibility, and clinical review data from our health plan customers. You’ll build and maintain the analyses and dashboards that show customers what’s happening in their populations: utilization trends, provider variation, cost, and the impact of programs running on the Onos platform.

This role works closely with our data science, product, and customer teams. This role is tightly focused on core analytics – tackling complex analytical questions independently. You’ll own analyses end to end, from digging into data to presenting results to customer stakeholders, and you’ll help make repeatable analyses into standard reporting in the product.

What You’ll Be Doing

Customer Analytics & Reporting

• Build and maintain customer-facing reports and dashboards covering utilization, cost, provider performance, and program outcomes.
• Run analyses that answer specific customer questions, such as where spend is concentrated, which providers are outliers, and how a program is affecting utilization.
• Support ROI and impact analyses by preparing data, running calculations, and checking results against agreed methodologies.
• Prepare findings for customer meetings and present results to analytics and operational teams at health plans.

Data Onboarding & Quality

• Explore and analyze structured, analysis-ready customer data feeds (including claims, authorizations, eligibility, and clinical documentation) to extract key insights.
• Investigate data quality issues, anomalies, and inconsistencies, collaborating closely with Engineering and customer teams to ensure accurate reporting.
• Partner with Data Engineering to define business logic and data requirements needed for downstream analytical workflows.
• Build checks that catch data issues before they reach customer reporting.

Product Support

• Turn recurring customer analyses into standard metrics and reports that can be built into the platform.
• Help define metric logic and business rules so numbers are consistent across customers and reports.
• Give Product, Engineering, and Data Science feedback on what customers ask for and where current reporting falls short.

Collaborate Across the Company

• Work with Data Science, Product, Engineering, Clinical Operations, and Customer Success on customer engagements and internal projects.
• Be a go-to resource on how our customers’ data is structured and what it can and can’t support.

What We’re Looking For

• 4+ years of experience in healthcare analytics or a related analytical role.
• Hands-on experience with healthcare claims data; experience with authorization, eligibility, or clinical data is a plus.
• Strong SQL skills, working proficiency in Python for data analysis, and proven ability to independently answer complex, ambiguous analytical questions.
• Experience building dashboards and reports in a BI or notebook tool.
• Solid understanding of descriptive statistics and common healthcare metrics (e.g., PMPM, utilization per 1,000, cost per member).
• Careful about data quality, with a habit of checking results before sharing them.
• Ability to explain analytical findings clearly to non-technical audiences.
• Proven experience working directly with customers or external stakeholders is required.
• Comfortable working in ambiguity and building processes from the ground up.
• Healthcare payer, provider, or health technology experience strongly preferred. Behavioral health experience is a plus.
• Exceptional references from colleagues and former managers.

Why This Role Is Unique

At Onos, Analysts aren’t a back-office reporting function.

You’ll work directly with health plan customers, see how your analyses inform their decisions, and help shape the reporting built into the Onos platform.

If you like digging into messy healthcare data, getting the numbers right, and seeing your work used by customers, we’d love to talk.

Benefits & Perks

• 3x per week in office (Mon/Tues/Thurs) in San Francisco, 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 both the product and company
• Regular team events and off-sites
• Company-provided equipment and home office setup
• In-office lunches and snacks provided

We are an equal opportunity employer and value diversity at Onos. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other protected characteristic.