--- title: 'Senior Data Analyst at Onos Health' canonical: 'https://feeny.ai/job/senior-data-analyst-onos-health-san-francisco-srpphrprs44d' type: 'job' last_seen: '2026-11-02' --- # Senior Data Analyst at Onos Health - **Company:** Onos Health - **Location:** San Francisco, CA - **Compensation:** $170k–$200k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-10-28 - **Last confirmed live:** 2026-11-02 - **Apply:** https://jobs.ashbyhq.com/onoshealth/d024a197-b8f5-441d-af9e-ac18618ef584 ## 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. ## About Onos Health ## Company Overview - **One-liner**: Onos Health provides an AI-powered platform that helps health plans reduce waste and improve quality in behavioral health programs. - **Entity Type**: Private (Seed stage; raised $6.3M in June 2025) - **Headquarters**: San Francisco, California, United States - **Founded**: Not publicly available - **Founders**: Akshay Agrawal (CEO) and Suhaas Prasad (CTO) ## Core Business - **Primary industry**: Healthcare IT – specifically behavioral health technology for payers - **Target customers**: Health plans (payers) that manage behavioral health benefits, including government-sponsored programs - **Mission statement**: “Fix what’s broken in behavioral health” – the company aims to streamline operations, reduce loss, and ensure higher-quality care. ## Products & Services - **Onos Platform (AI-Powered Behavioral Health Management)**: A SaaS platform that combines machine learning, large language models, and generative AI to: - Alert health plans when members deviate from appropriate care paths and recommend corrective actions. - Detect fraud, waste, and abuse early. - Provide a 360-degree view of each member’s condition and care. - Unify clinical review, utilization management, and provider quality assessment in a single, collaborative web application. - Support full spectrum of behavioral health diagnoses and all care settings (outpatient, intensive outpatient, inpatient, crisis stabilization, school-based, etc.). - **Integration Options**: Supports flatfile/CSV, API connections to claims/RCM/EMR systems, or direct data warehouse/lake integration. - **Configuration**: Can be tailored to a health plan’s data, service lines, and clinical guidelines. ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: Total funding raised – $6.3M (Seed round, June 2025) - **Notable Investors/Partners**: Seed round led by **Haystack** and **Pathlight Ventures**; 4 investors total. - **Growth Signals**: - 17 employees as of mid-2025, with active hiring for 6+ open roles (Staff Engineers, AI/ML, Product, Marketing). - Job postings increased 50% month-over-month. - LinkedIn follower count: 885. - Company featured in Axios coverage of the fundraise (October 2025). ## Competitive Advantages - **Behavioral-health-specific AI models**: Proprietary models trained exclusively on millions of claims, clinical notes, plan policies, and member data points – not general-purpose AI. - **HIPAA compliance**: Built by security professionals with payer experience; uses locally hosted AI/ML models to protect PHI. - **Reinforcement Learning with Human Feedback (RLHF)**: The platform continuously improves by incorporating team decisions back into the model. - **End-to-end unification**: Brings together scattered clinical data and cross-functional teams (clinical review, utilization management, provider collaboration) in one platform. ## Strategic Focus - **Reduce waste in behavioral health**: Onos targets the estimated 30% of every behavioral health dollar that goes to waste, aiming to cut that significantly. - **Improve clinical oversight and provider quality**: Real-time alerts and recommendations keep members on effective care paths. - **Expand data integration and configurability**: The platform works with existing payer systems and can be customized for each client’s policies and preferences. ## Why Work Here - **Mission-driven**: Employees focus on transforming a broken part of healthcare with measurable impact. - **Small, collaborative team**: Currently 17 people, offering high ownership and direct influence. - **Hybrid work policy**: Open positions list San Francisco as location, with hybrid expectation. - **Engineering culture**: Teams use modern tech stack (Python, Django, React, TypeScript, PostgreSQL, ClickHouse, PyTorch, Docker, Terraform, GitHub Actions, MLOps) and are building cutting-edge AI for healthcare. - **Open roles**: Staff Software Engineer (Full Stack & AI/ML), Lead Engineer (Backend & Data/Integrations), Forward-Deployed Product Manager, Senior Software Engineer, Head of Marketing. ## Sources 1. [onoshealth.com](https://onoshealth.com/) 2. [onoshealth.com/about-us](https://onoshealth.com/about-us/) 3. [onoshealth.com/career](https://onoshealth.com/career/) 4. [linkedin.com/company/onos-health](https://www.linkedin.com/company/onos-health) 5. [builtin.com/company/onos-health](https://builtin.com/company/onos-health) ## Other roles at Onos Health - [Strategic Account Manager](https://feeny.ai/job/strategic-account-manager-onos-health-san-francisco-aq25r4brjg83) — San Francisco, CA - [Forward-Deployed Product Manager](https://feeny.ai/job/forward-deployed-product-manager-onos-health-san-francisco-2dfm3ajvt0h8) — San Francisco, CA - [Staff Software Engineer (AI)](https://feeny.ai/job/staff-software-engineer-ai-onos-health-san-francisco-5420hhdt513p) — San Francisco, CA - [Lead Infrastructure Engineer](https://feeny.ai/job/lead-infrastructure-engineer-onos-health-san-francisco-jxg5ygp4htr6) — San Francisco, CA - [Senior Product Engineer](https://feeny.ai/job/senior-product-engineer-onos-health-san-francisco-v15rnqx6yc6n) — San Francisco, CA - [Lead Data Scientist](https://feeny.ai/job/lead-data-scientist-onos-health-san-francisco-yyt0hr2bx33g) — San Francisco, CA - [Clinical Quality Reviewer - BCBA](https://feeny.ai/job/clinical-quality-reviewer-bcba-onos-health-san-francisco-8g7ae96f4cb1) — San Francisco, CA - [Lead Software Engineer](https://feeny.ai/job/lead-software-engineer-onos-health-san-francisco-bwzgf99q6xqf) — San Francisco, CA - [Senior Data Analyst](https://feeny.ai/job/senior-data-analyst-mongodb-gurugram-agadg2s5scbe) — Gurugram, India - [Senior Data Analyst](https://feeny.ai/job/senior-data-analyst-vml-san-jose-1pzwfxqw45yb) — San José, Costa Rica