6 дней назад
Analytics Engineer, Finance and Modeling
55 000 - 70 000€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Analytics Engineer, Finance and Modeling (Finance and subscription analytics): Building governed finance metrics, automated reconciliation, reporting, and forecasting models for subscription and transaction data across four family technology brands with an accent on dbt, dimensional modeling, and statistical rigor. Focus on designing cohort and revenue forecasts, validating ARR, churn, CAC, and LTV metrics, and shipping tested scored tables that Finance can use directly.
Location: Fully remote from Paris, France
Salary: €55,000–€70,000 per year
Company
builds technology for families through OurFamilyWizard, Cozi, FamilyWall, and Custody Navigator, helping with organization, communication, and everyday routines.
What you will do
- Define, test, version, and document governed finance metrics such as ARR, renewal rate, churn, and CAC in dbt and Unity Catalog.
- Connect metrics to the internal Slack AI agent so Finance can query trusted definitions directly.
- Automate recurring finance reporting in marimo and retire the underlying Tableau views.
- Reconcile transactions across app stores, payment processors, subscription systems, and the financial ledger.
- Build cohort subscriber and revenue projections, renewal and retention forecasts, LTV models, and pricing and promotion impact analyses.
- Ship models as tested, lineage-aware scored tables in dbt and Unity Catalog rather than standalone notebooks.
Requirements
- 3+ years of experience in analytics engineering, data science, BI engineering, or advanced analytics.
- Experience shipping statistical models into business processes, including forecasting, survival analysis, cohort analysis, or propensity modeling.
- Experience with subscription metrics such as ARR/MRR, renewal, churn, LTV/CAC, or cohort revenue.
- Strong SQL, dimensional modeling, Python, and Git skills.
- Ability to evaluate growth experiment or pricing-change results rigorously and explain financial discrepancies.
- Must be able to work remotely from Paris, France.
Nice to have
- Experience with dbt, Databricks, Unity Catalog, or a comparable lakehouse.
- Experience reconciling transactional data with a financial system of record.
- Experience with code-first notebook reporting using marimo, Hex, Streamlit, or Quarto.
Culture & Benefits
- Fully remote workplace.
- Work across four products supporting families through important life moments.
- Small engineering team with broad ownership and varied analytical responsibilities.
- Daily use of coding agents, Claude Code, and agent SDKs.
Hiring process
- Recruiter interview.
- Take-home assignment.
- Hiring manager Zoom interview followed by a team interview.
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