Senior Data Analyst - Corporate Financial

We are looking for a Senior Data Analyst — Corporate Financial Reporting to join our Data Analytics team in North America. You’ll be the analytics lead on the metrics that the Board, CFO, and executive team look at every week—the corporate scorecard, the financial KPIs, and the planning data that runs through our systems to report and plan our growing business.

As Oura matures into a scalable business and migrates to a unified data platform on Databricks, this role exists to make sure the numbers that leadership steers by are defined once, computed correctly, traceable end-to-end, and audit-ready. You will partner with FP&A, Accounting, and the Data Engineering team to evolve our governed-KPI program, deliver the next generation of executive reporting, and bring rigor to the data layer behind financial planning.

This is a hybrid role, with 1-2 days per week onsite at our San Francisco office..

• Own the analytics layer of the Corporate Scorecard — partner with the CFO’s office and FP&A to define, document, and deliver the financial KPIs that show up in Board and exec reporting including but not limited to (Revenue, Gross profit/margin, adjusted EBITDA, Net Income, Units Sold, Warranty Rate, and the long tail of corporate metrics).
• Establish each financial KPI as a governed, audit-grade data product — locked definitions, single owner, Data Build Tools (dbt) tests, full lineage to source systems, formal sign-off by VP Finance, and a documented change-management process.
• Be the analytics representative in external audit cycles — produce documentation, walk auditors through lineage, and ensure SOX-aligned controls and segregation-of-duties practices are reflected in how financial metrics are produced.

• Migrate corporate financial 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, CRM, and e-commerce (NetSuite, Zuora, Supa) and the Data Engineering team to ensure clean ingestion via Fivetran/Lakeflow, correct dimensional modeling, and clear lineage from transactions to the executive dashboard.
• Build and maintain the Finance domain’s data products in Databricks, mentoring analysts across the org on dimensional modeling, dbt practices, and the Golden Path for publishing governed metrics.
• Build analytics reports leveraging the unified data lake house and AI solutions to drive self service analytics.

• Partner deeply with FP&A on Pigment — own the Databricks-side data layer that feeds financial models, work through multi-region setup, and ensure the planning numbers, reported numbers, and warehouse all reconcile.
• Drive adoption of self-service financial reporting by FP&A and business partners — using AI, Databricks SQL dashboards, and clear documentation to reduce one-off reporting tasks and free FP&A time for analysis.

• Continuously evaluate emerging tools (Databricks Genie, AI-assisted SQL/modeling via Cursor and Claude Code, semantic-layer technologies) to improve productivity and accuracy in financial reporting.

• 7+ years in analytics, business intelligence, or a related data-focused role, with at least 3+ years specifically supporting Finance, FP&A, or Corporate Reporting.
• Demonstrated experience building executive-level financial reporting that is trusted by a CFO and survives external scrutiny (Board, auditors, investors).
• Deep working knowledge of financial data domains: revenue recognition, gross margin and unit economics, subscription/membership metrics (MRR, ARR, churn, LTV, MAU), accounting close cycles, and how transactional systems (NetSuite, Netsuite Analytics expertise, Zuora, Ecommerce) flow into reported numbers.
• Hands-on experience with financial planning platforms such as Pigment (Anaplan, Adaptive, or similar acceptable) 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 financial data extraction, reconciliation, and modeling.
• Expertise in dimensional modeling for financial reporting (conformed dimensions across product, geo, channel, customer; slowly-changing dimensions for org/cost-center 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 and building documentation that withstands audit review.

• Excellent verbal and written communication skills — able to brief a CFO on a number, then explain to an analyst how the data behind it works.
• Thrive in a fast-paced, highly collaborative global work environment.

• Familiarity with adjacent tooling: AWS, GitHub, NetSuite/ERP, Fivetran, Python, semantic layers, and data governance frameworks (SOX, segregation of duties, audit trail design).
• Expertise in data visualization theory — you understand how to choose the right chart for the right financial message and why exec dashboards fail when they don’t.
• Experience building governed KPI programs through a formal external audit (e.g., PwC, Big 4).

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.