Analytics Engineer, Strategic Finance
Palo Alto, CA$200k - $300kFull-timePosted 2mo ago
About the role
Analytics Engineer inside Strategic Finance focused on turning data into actionable insights to inform Whop’s decision-making. Build datasets, models, and metrics, own data pipelines and financial semantic layer, and deliver self-serve dashboards to stakeholders.
Responsibilities
- Turn data into decisions. Find insights that change what Whop does — surface trends, risks, and opportunities in payments, growth, and unit economics, and present them in an actionable form.
- Ship Whop financial product. Write production code and build features on Whop Financial Reports to support close-the-books processes and merchant use.
- Build and own the ingestion pipelines. Ingest and backfill payment-processor settlement data into the ledger, scalable across currencies and geographies, ensuring complete and accurate financials.
- Own the financial semantic layer. Define and standardize metric logic (GMV/GTV, revenue, take rate, contribution margin, COGS/GP per business, LTV/CAC, retention/cohorts, chargeback and dispute rates).
- Make finance and the business self-serve. Partner with leadership to ship intuitive Metabase dashboards and data models so stakeholders can answer questions independently.
- Set standards. Establish data modeling conventions, testing, documentation, and access controls; own data quality and lineage across the stack.
Qualifications
- 3+ years in Data Engineering, Analytics Engineering, or a closely related role, ideally in a high-growth or fintech environment.
- Deep expertise in SQL and Python, plus a modern transformation and warehouse stack (dbt + BigQuery preferred; Snowflake/Redshift equivalent fine).
- Proven experience defining financial and operating metrics and resolving data inconsistencies across complex, multi-system pipelines.
- Strong grounding in version control (GitHub), CI/CD, testing, and documentation as defaults, not afterthoughts.
- Working knowledge of financial concepts: revenue, margin, LTV/CAC, retention/churn, and the difference between an accounting number and a product metric.
- A strong communicator comfortable with ambiguity, building trust across Finance, Product, GTM and Exec partners.
Skills
Required:SQLPythonBigQueryGit
Nice to have:dbt
Benefits
- Competitive base salary, meaningful equity, and full benefits.
Last updated Oct 26, 2026. Interested? Apply on the company site.
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