Senior Data Analyst, Hardware & Supply Chain

Responsibilities

• 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.
• Cleanse and model data from ERP, manufacturing, logistics, and e-commerce (NetSuite, contract-manufacturer feeds, 3PL/logistics data, Zuora) 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 issues 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

• 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.
• Hightly 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.
• Thriving in a fast-paced, highly collaborative global work environment that spans factories, warehouses, and offices across time zones.

Qualifications

• 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.

Skills

• SQL
• Dimensional Modeling
• dbt
• Databricks
• Modern BI Tools

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 & 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

Pay

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

Schedule

• Full-time