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In Tandem
In Tandem
51 – 200 Employees
B2CProductivitySaaS
In Tandem is a global technology company building consumer-focused digital products for families. Its portfolio includes apps for co-parenting, family organization, communication, and parenting schedules, designed to help people coordinate responsibilities, manage everyday routines, and stay connected. The company operates in the B2C SaaS and productivity space, creating tools that support families through daily life and important transitions.
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Analytics Engineer, Finance and Modeling

Own governed subscription metrics, financial reconciliation, forecasting, and tested data models for In Tandem’s family technology brands.

FRFrance
€55,000 – €70,000 / year
RemoteFull-timeMiddleSeniorEnglish RequiredAnalytics Engineer
PythonSQLTableauUnity

Description

  • Own metrics, reporting, and reconciliation supporting financial decisions across four subscription and transaction-based brands.
  • Define ARR, renewal rate, churn, and CAC in dbt, document them in Unity Catalog, create robust tests, and connect the metrics to the internal Slack business-question agent.
  • Move recurring finance reporting into marimo, retire the underlying Tableau views, and automate scheduled execution.
  • Reconcile transactions across app stores, payment processors, subscription systems, and the ledger.
  • Build automated discrepancy checks, route evidence-backed issues upstream, convert discrepancies into tests, and escalate issues while Accounting owns treatment.
  • Forecast cohort subscribers and revenue, aggregate renewal and retention, and support CFO forecasts and board reporting.
  • Model LTV by acquisition source to guide paid-spend allocation with Growth.
  • Assess pricing and promotional impact before launch.
  • Develop individual churn propensity and uplift models once a retention program can act on the scores.
  • Deliver tested, lineage-documented scored tables in dbt and Unity Catalog instead of notebooks.

Requirements

  • At least three 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.
  • Ability to measure the lift from pricing changes or growth experiments and interpret results accurately.
  • Experience building and defending subscription metrics for finance stakeholders, including ARR/MRR, renewal, churn, LTV/CAC, or cohort revenue.
  • Strong SQL skills and solid dimensional modeling experience, including mart design.
  • Daily working proficiency with Python and Git.
  • Rigorous understanding of cohort curves, model leakage, and statistical noise.
  • Fluency in finance and the ability to explain financial metrics clearly.
  • Experience owning analytics projects end to end, from business question through model, testing, reporting, and stakeholder discussion.
  • Practical proficiency with Claude Code, coding agents, and agent SDKs.
  • Willingness to work across analytics, financial reconciliation, and dashboard support.
  • Experience with dbt, Databricks, Unity Catalog, or a comparable lakehouse environment preferred.
  • Experience reconciling transactional data with a financial system of record preferred.
  • Experience with code-first notebook reporting using marimo, Hex, Streamlit, or Quarto preferred.

Benefits

  • The posting does not state specific benefits or perks.

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