{"id":3412438,"url":"https://alion.io/job/onos-health-senior-data-analyst","title":"Senior Data Analyst","company":{"id":679758,"name":"Onos Health","domain":"onoshealth.com","url":"https://alion.io/company/onoshealth","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":140000,"max":160000,"currency":"USD","period":"year","gross":null,"usd_annual":160000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-10-28T17:30:37Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-10-29T15:27:45Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About Onos Health\nOnos 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.\nOnos 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.\nCome join a category-defining company and transform how healthcare is managed in the U.S.\nWhy Onos?\nMeaningful impact: Help solve one of healthcare’s biggest challenges by improving quality while reducing waste.\nOwnership: Take on significant responsibility from day one and shape a rapidly growing company.\nDirect collaboration: Work alongside experienced founders with deep expertise in healthcare, AI, and product development.\nHigh-performing team: Join a transparent, collaborative, and execution-focused culture.\nBuild something new: Help define the next generation of AI-powered healthcare analytics.\nThe Role\nWe’re looking for a Senior Data Analyst to turn health plan data into the reporting, analyses, and insights our customers rely on.\nYou’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.\nThis 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.\nWhat You’ll Be Doing\nCustomer Analytics & Reporting\nBuild and maintain customer-facing reports and dashboards covering utilization, cost, provider performance, and program outcomes.\n\nRun analyses that answer specific customer questions, such as where spend is concentrated, which providers are outliers, and how a program is affecting utilization.\n\nSupport ROI and impact analyses by preparing data, running calculations, and checking results against agreed methodologies.\n\nPrepare findings for customer meetings and present results to analytics and operational teams at health plans.\n\nData Onboarding & Quality\nExplore and analyze structured, analysis-ready customer data feeds (including claims, authorizations, eligibility, and clinical documentation) to extract key insights.\n\nInvestigate data quality issues, anomalies, and inconsistencies, collaborating closely with Engineering and customer teams to ensure accurate reporting.\n\nPartner with Data Engineering to define business logic and data requirements needed for downstream analytical workflows.\n\nBuild checks that catch data issues before they reach customer reporting.\n\nProduct Support\nTurn recurring customer analyses into standard metrics and reports that can be built into the platform.\n\nHelp define metric logic and business rules so numbers are consistent across customers and reports.\n\nGive Product, Engineering, and Data Science feedback on what customers ask for and where current reporting falls short.\n\nCollaborate Across the Company\nWork with Data Science, Product, Engineering, Clinical Operations, and Customer Success on customer engagements and internal projects.\n\nBe a go-to resource on how our customers’ data is structured and what it can and can’t support.\n\nWhat We’re Looking For\n4+ years of experience in healthcare analytics or a related analytical role.\n\nHands-on experience with healthcare claims data; experience with authorization, eligibility, or clinical data is a plus.\n\nStrong SQL skills, working proficiency in Python for data analysis, and proven ability to independently answer complex, ambiguous analytical questions.\n\nExperience building dashboards and reports in a BI or notebook tool.\n\nSolid understanding of descriptive statistics and common healthcare metrics (e.g., PMPM, utilization per 1,000, cost per member).\n\nCareful about data quality, with a habit of checking results before sharing them.\n\nAbility to explain analytical findings clearly to non-technical audiences.\n\nProven experience working directly with customers or external stakeholders is required.\n\nComfortable working in ambiguity and building processes from the ground up.\n\nHealthcare payer, provider, or health technology experience strongly preferred. Behavioral health experience is a plus.\n\nExceptional references from colleagues and former managers.\n\nWhy This Role Is Unique\nAt Onos, Analysts aren’t a back-office reporting function.\nYou’ll work directly with health plan customers, see how your analyses inform their decisions, and help shape the reporting built into the Onos platform.\nIf you like digging into messy healthcare data, getting the numbers right, and seeing your work used by customers, we’d love to talk.\nBenefits & Perks\n3x per week in office (Mon/Tues/Thurs) in San Francisco, Financial District\n\nUnlimited vacation policy\n\nPaid parental leave\n\nMedical, dental, and vision insurance\n\nPre-tax commuter benefits\n\n401(k)\n\nSignificant equity as an early employee\n\nDirect mentorship from experienced founders\n\nGround-floor opportunity to help build both the product and company\n\nRegular team events and off-sites\n\nCompany-provided equipment and home office setup\n\nIn-office lunches and snacks provided\n\nWe are an equal opportunity employer and value diversity at Onos. 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