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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 (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.
• 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, yield, scrap, and cost-to-serve - that give Operations leadership a single trusted view.
• Drive 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.

Tooling & Innovation

• Continuously 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.

• 7+ years in analytics, business intelligence, or a related data-focused role, with at least 3+ years specifically supporting Hardware, Supply Chain, Operations, Manufacturing, or Logistics.
• Demonstrated experience building executive-level reporting for a physical-product business that is trusted by leadership and survives external scrutiny (Board, auditors, investors).
• Deep 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.
• Hands-on experience with demand/supply planning data and a real understanding of where the planning system ends and the data lake begins.
• Highly fluent in SQL with experience writing complex queries for operational and financial data extraction, reconciliation, and modeling.
• Expertise 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).
• Experience with dbt - including tests, documentation, exposures, and contracts.
• Experience with Databricks strongly preferred (Unity Catalog, Databricks SQL, Lakeflow, Genie); deep Snowflake experience acceptable with willingness to migrate.
• Experience with modern BI tools (Tableau, Looker, Databricks SQL Dashboards, Power BI) and a clear point of view on when each is the right fit.
• Track record of working alongside external auditors (PwC, Deloitte, EY, KPMG) and building documentation that withstands audit review.
• Excellent 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.
• Thrive in a fast-paced, highly collaborative global work environment that spans factories, warehouses, and offices across time zones.

• Familiarity with adjacent tooling and sources: AWS, GitHub, NetSuite/ERP, Fivetran, Python, semantic layers, EDI/3PL logistics feeds, and contract-manufacturer (CM) data integrations.
• Experience standing up a hardware data contract and product/SKU dimension (dim_hardware) from scratch in a high-growth consumer hardware company.
• Experience building governed KPI programs through a formal external audit (e.g., PwC, Big 4), including COGS, inventory, and units-sold reconciliation.
• Expertise 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.

As 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.

At 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.

What we offer:

• Competitive salary and equity packages
• Health, dental, vision insurance, and mental health resources
• An Oura Ring of your own plus employee discounts for friends & family
• 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
• Paid sick leave and parental leave

Compensation

Oura 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.

• Region 1 $172,000- $203,000
• Region 2 $158,950- $187,000
• Region 3 $147,900- $174,000

A recruiter can determine your zones/tiers based on your US location.

We 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)