Senior Data Analyst, Hardware & Supply Chain

ŌURA

Senior Data Analyst analyzing hardware and supply chain metrics for Oura. Leading data initiatives and ensuring reporting accuracy across operations and supply chains.

Posted 7/2/2026full-timeSan Francisco • California • 🇺🇸 United StatesSenior💰 $172,000 - $203,000 per yearWebsite

Tech Stack

Tools & technologies

ERPSQLTableauUnity

About the role

Key responsibilities & impact

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.
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.
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.
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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Dimensional ModelingSQLData GovernanceKPI DevelopmentData Quality AssuranceExecutive-Level ReportingDemand/Supply PlanningData ExtractionData ReconciliationData Modeling

Soft Skills

Excellent Communication SkillsCollaborative Team PlayerAdaptability In Fast-Paced Environments