hirly

Onos Health

Senior Data Analyst

San Francisco

hirly Pro

Get in front of the people hiring at Onos Health

  • Reach the hiring manager at Onos Health on LinkedIn, from your own account
  • hirly applies to this job for you, with unlimited applications
  • A resume and cover letter written for this job, unlimited
  • The hiring manager and recruiter at Onos Health, with contact details
Get Pro for this job →

$49 a month · ₹1,999 for 30 days in India · cancel any time

See how you match this job — and similar ones. Free.

Upload your resume and hirly scores it against this role at Onos Health first, then against similar open jobs, and shows where you fit and why.

PDF or DOCX, up to 12MB. No sign-up to see your matches.

Get past the screening software and onto a recruiter's desk

hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.

  • Keywords matched to this posting
  • Fit score before you apply
  • Cover letter included

Matched against 3M live jobs from 210,000+ employers in 200+ countries.

Tailor my resume for this job →

Apply from your AI assistant

Connect hirly to Claude or ChatGPT and ask it to apply to this job. hirly tailors your resume, fills the employer’s form and asks before sending.

Some employer sites stop an application at a CAPTCHA or sign-in and hand it back with a link. Applying needs a paid plan. Works with any assistant that supports MCP.

hirly's read of this role

Seniority
Senior
Stated salary
$170,000 – $200,000 per year
Country
US
Work mode
On-site / unstated
First seen by hirly
29 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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.

Original posting on Onos Health's site ↗

Listed on hirly, a job board. hirly is not the employer: Onos Health is hiring for this role.

Browse similar roles

Want this one?

Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.

Tailor my resume for this job