As an Analytics Engineer (Finance & Modeling), you'll own the metrics, reporting and reconciliation our financial decisions rest on, turning subscription and transaction data across OurFamilyWizard, Cozi, FamilyWall and Custody Navigator into numbers the business can defend. As that foundation becomes automatic, the work shifts toward forecasting and modeling.
You won't start from scratch. Our dbt project is live on Databricks with a star-schema finance mart in production and documented in Unity Catalog. What's missing is the layer on top, and that layer is yours.
We also run an internal AI agent that answers business questions in Slack off the semantic layer, so every metric you define and test becomes a question Finance can ask directly rather than queue.
• Models ship as scored tables in dbt and Unity Catalog, with tests, lineage and a definition the agent can answer from. Not as notebooks.
• Statistically rigorous. You know why a cohort curve is the wrong shape, what a model is leaking, and when a result is noise.
• Fluent in finance, and unwilling to let a number you can't explain go out the door. When two systems disagree, you find out why and tell the people upstream.
• An engineer who owns the number end to end, from a CFO's question through the model, the test, the report and the conversation that follows. A spreadsheet nobody can reproduce reads to you as a liability.
• AI-proficient in practice, not in theory. Claude Code, coding agents and agent SDKs are part of our daily loop, and we expect you to already work this way. A lot of what used to be a week of modeling work is now an afternoon, and we're hiring for people who have internalized that.
• Willing to wear several hats. This is a small team supporting four brands. Some weeks you're deep in a retention model, some weeks you're chasing an app store discrepancy or unblocking someone else's dashboard.
The scope above is the center of the role, not a fence around it.
• Motivated by work that matters. Families rely on these products during real moments in their lives.
• 3+ years in analytics engineering, data science, BI engineering or advanced analytics.
• Statistical modeling shipped into a business process: forecasting, survival or cohort analysis, or propensity.
• Measuring the lift from a price change or a growth experiment. You don't need to have designed the test, but you need to be able to read the result honestly and say what it's worth.
• Subscription metrics you've built and defended to a finance stakeholder: ARR/MRR, renewal, churn, LTV/CAC, or cohort revenue.
• Strong SQL and real dimensional modeling. You've designed marts, not just queried them.
• Python and Git as daily habits.
• dbt, Databricks and Unity Catalog, or a comparable lakehouse.
• Reconciling transactional data to a financial system of record.
• Code-first notebook reporting (marimo, Hex, Streamlit, Quarto).
Why Join?
• Medical: In Tandem pays 100% of the premium for employees AND 99% for all additional family members
• 401k: Up to a 4% match with immediate vesting
• Paid leave for all new parents
• Learning & Development stipend for employees
• Paid Time Off: 11 Holidays + Winter Break (3 Days) + Volunteer Time Off (1 Day) + Floating Holiday (1 Day)
• Personal Time Off: 15 days for 0-1 years of employment, 20 days 1-3 years of employment
• Supportive and flexible working environment – work from anywhere!
Come As You Are!
In Tandem provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Originally posted on Himalayas