Analytics Engineer, Strategic Finance Palo Alto, CA

Whop Inc.; Palo Alto (CA); Hybrid; USD 200,000 - 300,000; Full time

Benefits offered by this job

Competitive salary

Meaningful equity

Full benefits

Job summary

Whop Inc. in Palo Alto, CA is seeking an Analytics Engineer for Strategic Finance to turn data into decision-ready insights. You will build data pipelines, define metrics (GMV, revenue, LTV/CAC) and codify accounting logic, ensuring numbers reconcile to source.

You will ship financial reporting features, own the semantic layer, and empower cross-functional partners with self-serve dashboards and trustworthy models. On-site role with strong collaboration across Finance, Product, and GTM.

Qualifications

• 3+ years in Data/Analytics Engineering or related field.
• Experience defining financial and operating metrics.
• Strong knowledge of SQL and Python, plus modern data stack.

Responsibilities

• Turn data into decisions by surfacing trends and opportunities in payments, growth, and unit economics.
• Ship Whop Financial Reports features and ensure they are reliable for closing books.
• Build and own data ingestion pipelines across currencies and geographies.
• Own the financial semantic layer with standardized metric logic.
• Enable self-serve analytics with intuitive dashboards for stakeholders.
• Set data modeling standards, testing, and data quality controls.

Skills

Analytical thinking

Communication

Stakeholder management

Data modeling

Tools

SQL

Python

dbt

BigQuery

Snowflake

Redshift

GitHub

CI/CD

Documentation

Job description

# Analytics Engineer, Strategic Finance: Palo Alto, CA: Engineering: Full time: On-site## About WhopOur mission is to deliver everyone a sustainable income. Right now 50,000 users make money on Whop every month, and this year users will earn over $5B. We will not stop until 1B people every month are making money on Whop.## About the RoleWe're hiring our first dedicated Analytics Engineer inside Strategic Finance, and the job is simple to state and hard to do well: **make everyone at Whop smarter with the insights hidden in our data, and change how the company makes decisions.**Whop generates an enormous amount of data — every payment, dispute, refund and ad campaign tells us something about the business. Most of it isn't yet answering directly the questions we are actually asking. You will build the datasets, models, and metrics that turn that raw signal into fast, trustworthy answers — and then push those answers in front of the people making the calls, so that a good decision is the path of least resistance.You'll write production code and ship changes directly to Whop's financial products. You'll build and own the data pipelines that ingest payment-processor settlement data into that ledger, encode accounting logic in code (bad-debt recognition, FX gain/loss, revenue categorization), and make the reported numbers reconcile to source.**This role is on-site in Palo Alto.**## What You'll Do* **Turn data into decisions.** Find the insights that change what Whop does — surface trends, risks, and opportunities in payments, growth, and unit economics, and get them in front of the right people in a form they can act on immediately.* **Ship Whop financial product.** Write production code and build features on Whop Financial Reports so it's reliable enough to close the books on and useful to every merchant.* **Build and own the ingestion pipelines.** Ingest and backfill payment-processor settlement data into the ledger, at scale and across currencies and geographies, so reported financials are complete and accurate always.* **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) so one metric means one thing across the organization.* **Make finance and the business self-serve.** Partner with leadership to ship intuitive, trustworthy Metabase dashboards and data models so every stakeholder can answer their own questions with confidence — and stop pinging you for a number.* **Set standards.** Establish data modeling conventions, testing, documentation, and access controls, and own data quality and lineage across the stack.## What You'll Bring* 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.## Compensation & BenefitsCompetitive base salary, meaningful equity, and full benefits.Target base range: **$200,000-$300,000**