Senior Data Analyst, Hardware & Supply Chain

Senior Data Analyst for Hardware and Supply Chain analytics at Oura, focused on hardware manufacturing, supply chain metrics, and related analytics on a Databricks-based platform, collaborating with Operations, Supply Chain, Finance, and Data Engineering.

Responsibilities

• Own the analytics layer for the hardware and supply chain scorecard and partner with Operations, Supply Chain, and Finance to define, document, and deliver KPIs used 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, activation rate).
• Establish each hardware and supply chain KPI as a governed data product with locked definitions, a single owner, dbt tests, full lineage from source systems, formal sign-off, and a documented change-management process.
• Build and maintain the hardware data contract and the canonical hardware dimension that ties SKUs, components, ring generations, sizes, and finishes to downstream sales, inventory, and activation metrics.
• Serve as the analytics representative in external audit cycles by producing documentation, guiding auditors through lineage, and ensuring controls and traceability are reflected in metric production.
• Migrate hardware and supply chain reporting from legacy stacks to a Databricks-based platform with dbt-modeled metrics, Unity Catalog lineage, and Databricks SQL / Genie as the executive-facing surface.
• Coordinate with ERP, manufacturing, logistics, and e-commerce source-system owners (NetSuite, contract-manufacturer feeds, 3PL/logistics data, Zuora) and Data Engineering to ensure clean ingestion, accurate dimensional modeling, and clear lineage from purchase orders to sell-through and activation.
• Resolve data quality issues to ensure end-to-end trust in reporting.
• Build and maintain the Hardware/SC domain data products in Databricks, mentoring analysts on dimensional modeling, dbt practices, and publishing governed metrics for reporting and for MCP/agentic AI consumption.
• Partner with Supply Chain and Operations on demand and supply planning data, owning the Databricks-side data layer that feeds planning and ensuring reconciled numbers across regions.
• Deliver inventory, fulfillment, and supplier analytics (days of supply, fill rate, on-time delivery, yield, scrap, cost-to-serve) to provide Operations leadership with 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.
• Continuously evaluate tools (Unity Catalog, Databricks Genie, AI-assisted SQL/modeling with Cursor and Claude Code, semantic layers) to improve productivity and accuracy in hardware and supply chain reporting.

Requirements

• 7+ years in analytics, business intelligence, or a related data-focused role, with at least 3+ years supporting Hardware, Supply Chain, Operations, Manufacturing, or Logistics.
• Proven experience building executive-level reporting for a physical-product business that earns trust from leadership and endures external scrutiny (Board, auditors, investors).
• Deep 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 feeds, 3PL, e-commerce platforms) feed into reported metrics.
• Hands-on experience with demand and supply planning data and a clear understanding of where planning systems meet the data lake.
• Fluent in SQL with a track record of writing complex queries for operational and financial data extraction, reconciliation, and modeling.
• Expertise in dimensional modeling for hardware and 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 an informed view on when each is appropriate.
• History working with external auditors (PwC, Deloitte, EY, KPMG) and producing documentation that stands up to audit review.
• Excellent verbal and written communication skills—able to briefing leaders on numbers and explaining data behind them to analysts.
• Thrives in a fast-paced, collaborative global environment spanning factories, warehouses, and offices across time zones.

Technologies

• dbt, Unity Catalog, Databricks, Databricks SQL, Genie
• Snowflake, Tableau, Looker, Power BI
• SQL, Lakeflow, Cursor, Claude Code
• AWS, GitHub, NetSuite, Fivetran
• Python, Zuora, Sheets

Benefits

• Competitive salary and equity packages
• Health, dental, vision insurance, and mental health resources
• An Oura Ring of your own plus employee discounts for friends and 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

What Makes You Stand Out

• Familiarity with adjacent tooling and sources: AWS, GitHub, NetSuite/ERP, Fivetran, Python, semantic layers, EDI/3PL logistics feeds, and contract-manufacturer data integrations.
• Experience establishing a hardware data contract and a product/SKU dimension (dim_hardware) from scratch in a high-growth consumer hardware company.
• Proven ability to build governed KPI programs through formal external audits, including COGS, inventory, and units-sold reconciliation.
• Strong data visualization theory sense—knowing how to pick the right chart for the right message and why dashboards fail when misapplied.

Compensation

Salary ranges by region:

• Region 1 $172,000 - $203,000
• Region 2 $158,950 - $187,000
• Region 3 $147,900 - $174,000
• A recruiter will determine your zone based on your US location.