Senior Data Analyst, Hardware & Supply Chain

Senior Data Analyst, Hardware & Supply Chain

Hybrid - San Francisco, California

Our mission at Oura 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.

Empowering 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.

We are looking for a Senior Data Analyst — Hardware & 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 hardware manufacturing, supply chain, revenue, units sold, COGS, margin, inventory, and the warranty and returns metrics that show up in board and S-1 reporting.

As 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, Hardware Engineering, Finance, and Data Engineering to build the governed hardware/supply chain data foundation.

Hardware & Supply Chain KPI Ownership

• Own the analytics layer for the hardware and 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).
• Establish each hardware/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.
• Build 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.
• Be 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.

Platform Migration & Data Engineering

• Migrate hardware and 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.
• Coordinate with source-system owners across ERP, manufacturing, logistics, and e-commerce (Net Suite, 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.
• Resolve systems data quality issue to ensure that reporting is trustworthy end to end.
• Build and maintain the Hardware/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.

Operations & Supply Chain Partnership

• Partner 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.
• Deliver inventory, fulfillment, and supplier analytics — days of supply, fill rate, on-time delivery,…