{"id":192706,"url":"https://alion.io/job/oura-senior-data-analyst-hardware-supply-chain","title":"Senior Data Analyst, Supply Chain","company":{"id":63542,"name":"Oura","domain":"oura.com","url":"https://alion.io/company/oura","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":83,"open_postings":15,"ghost_share":0,"stale_share":0.467,"repost_share":0,"time_to_fill_p50_days":64,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"hybrid","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":172000,"max":203000,"currency":"USD","period":"year","gross":null,"usd_annual":203000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Claude Code","optional":false},{"name":"Cursor","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Fivetran","optional":false},{"name":"GitHub","optional":false},{"name":"Looker","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-07-02T19:13:16Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-11T13:40:25Z","board_verified":true,"closed_at":null,"days_open":131,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":131},"description":"Our mission at ŌURA is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles.\nEmpowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work - both in and out of the office. \nWe are looking for a Senior Data Analyst - Supply Chain to join our Data Analytics team in North America. You’ll be the analytics lead on the data that runs Oura’s physical business-how rings are built, sourced, manufactured, shipped, sold, activated, and serviced. This is the data behind supply chain, revenue, units sold, COGS, margin, inventory, and the warranty and returns metrics that show up in board and S-1 reporting.\nAs Oura matures into a scalable consumer-hardware business and migrates to a unified data platform on Databricks, this role exists to make sure the numbers that leadership and external auditors steer by-units sold, sell-through, activation rate, on-hand inventory, landed cost, and warranty rate-are defined once, computed correctly, traceable end-to-end from ERP and the manufacturing floor to the executive dashboard, and audit-ready. You will partner with Operations, Supply Chain, Finance, and Data Engineering to build the governed hardware /supply chain data foundation.\nWhat You Will Do\nSupply Chain KPI Ownership\nOwn the analytics layer for the supply chain scorecard - partner with Operations, Supply Chain, and Finance to define, document, and deliver the KPIs that show up in board and S-1 reporting (hardware revenue, units sold, sell-through, COGS, landed cost, gross margin, on-hand and in-transit inventory, warranty rate, return/RMA rate, and activation rate).\nEstablish SC KPI as a governed, audit-grade data product - locked definitions, single owner, data build tool (dbt) tests, full lineage from source systems, formal sign-off, and a documented change-management process.\nBuild and own the hardware data contract and hardware - the canonical dimension that ties SKUs, components, ring generations, sizes, and finishes to every downstream sales, inventory, and activation metric.\nBe the analytics representative in external audit cycles - produce documentation, walk auditors through lineage, and ensure controls and traceability are reflected in how hardware and supply chain metrics are produced.\nPlatform Migration & Data Engineering\nMigrate supply chain reporting from legacy stacks (Snowflake + Tableau + Sheets) to our Databricks-based platform, with dbt-modeled metrics, Unity Catalog lineage, and Databricks SQL / Genie as the executive-facing surface.\nCoordinate with source-system owners across ERP, manufacturing, logistics, and e-commerce (NetSuite, contract-manufacturer feeds, 3PL/logistics data, Zuora) and the Data Engineering team to ensure clean ingestion, correct dimensional modeling, and clear lineage from purchase orders and factory output through to sell-through and activation.\nResolve systems data quality issue to ensure that reporting is trustworthy end to end.\nBuild and maintain the SC domain’s data products in Databricks, mentoring analysts on dimensional modeling, dbt practices, and the Golden Path for publishing governed metrics for reporting and for MCP/agentic AI consumption.\nOperations & Supply Chain Partnership\nPartner deeply with Supply Chain and Operations on demand/supply planning data - own the Databricks-side data layer that feeds planning, and ensure planned, reported, and warehouse numbers reconcile across regions.\nDeliver inventory, fulfillment, and supplier analytics - days of supply, fill rate, on-time delivery, yield, scrap, and cost-to-serve - that give Operations leadership a single trusted view.\nDrive adoption of self-service reporting by Operations and business partners - using Genie, Databricks SQL dashboards, and clear documentation to reduce one-off reporting and free up analyst time for analysis.\nTooling & Innovation\nContinuously evaluate emerging tools (Unity Catalog, Databricks Genie, AI-assisted SQL/modeling via Cursor and Claude Code, semantic-layer technologies) to improve productivity and accuracy in hardware and supply chain reporting.\nWe Would Love to Have You on Our Team, If You Have\n7+ years in analytics, business intelligence, or a related data-focused role, with at least 3+ years specifically supporting Supply Chain, Operations, Manufacturing, or Logistics.\nDemonstrated experience building executive-level reporting for a physical-product business that is trusted by leadership and survives external scrutiny (Board, auditors, investors).\nDeep working knowledge of hardware and supply chain data domains: units sold and sell-through, COGS and landed cost, BOM and component costing, inventory (on-hand, in-transit, days of supply), warranty and RMA/returns, manufacturing yield, and how transactional systems (NetSuite/ERP, contract-manufacturer and 3PL feeds, e-commerce platforms) flow into reported numbers.\nHands-on experience with demand/supply planning data and a real understanding of where the planning system ends and the data lake begins.\nHighly fluent in SQL with experience writing complex queries for operational and financial data extraction, reconciliation, and modeling.\nExpertise in dimensional modeling for hardware/operations reporting (conformed dimensions across SKU, product generation, channel, geo, supplier; slowly-changing dimensions for product and cost hierarchies; period-over-period comparisons).\nExperience with dbt - including tests, documentation, exposures, and contracts.\nExperience with Databricks strongly preferred (Unity Catalog, Databricks SQL, Lakeflow, Genie); deep Snowflake experience acceptable with willingness to migrate.\nExperience with modern BI tools (Tableau, Looker, Databricks SQL Dashboards, Power BI) and a clear point of view on when each is the right fit.\nTrack record of working alongside external auditors (PwC, Deloitte, EY, KPMG) and building documentation that withstands audit review.\nExcellent verbal and written communication skills - able to brief an operations or finance leader on a number, then explain to an analyst how the data behind it works.\nThrive in a fast-paced, highly collaborative global work environment that spans factories, warehouses, and offices across time zones.\nWhat Makes You Stand Out\nFamiliarity with adjacent tooling and sources: AWS, GitHub, NetSuite/ERP, Fivetran, Python, semantic layers, EDI/3PL logistics feeds, and contract-manufacturer (CM) data integrations.\nExperience standing up a hardware data contract and product/SKU dimension (dim_hardware) from scratch in a high-growth consumer hardware company.\nExperience building governed KPI programs through a formal external audit (e.g., PwC, Big 4), including COGS, inventory, and units-sold reconciliation.\nExpertise in data visualization theory - you understand how to choose the right chart for the right operational message and why exec dashboards fail when they don’t.\nAs a company we are focused on improving the way we live our lives. From the people who use our product to the team behind it, we work to empower every person to own their inner potential.\nBenefits\nAt Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own, and we are continually looking to improve employee health.\nWhat we offer:\nCompetitive salary and equity packages\nHealth, dental, vision insurance, and mental health resources\nAn Oura Ring of your own plus employee discounts for friends & family\n20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off\nPaid sick leave and parental leave\nCompensation\nOura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates’ pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.\nRegion 1 $172,000- $203,000\nRegion 2 $158,950- $187,000\nRegion 3 $147,900- $174,000\nA recruiter can determine your zones/tiers based on your US location.\nWe are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), Vermont (VT), West Virginia (WV), and Wisconsin (WI)\nŌURA is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at ŌURA are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics.\nWe will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment.\nDisclaimer: Beware of fake job offers!\nWe’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note:\nOur jobs are listed only on the ŌURA Careers page and trusted job boards.\nWe will never ask for personal information like ID or payment for equipment upfront.\nOfficial offers are sent through Docusign after a verbal offer, not via text or email.\nStay cautious and protect your personal details.\nTo all recruitment agencies: ŌURA does not accept agency resumes. Please do not forward resumes to our jobs alias, ŌURA employees, or any other organization's location. 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