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In Tandem
In Tandem
51 – 200 Darbinieki
B2CProduktivitāteSaaS
In Tandem ir globāls tehnoloģiju uzņēmums, kas ģimenēm izstrādā patērētājiem paredzētus digitālos produktus. Tā produktu klāstā ir lietotnes kopīgai bērnu audzināšanai, ģimenes dzīves organizēšanai, saziņai un vecāku grafiku plānošanai, kas palīdz cilvēkiem koordinēt pienākumus, pārvaldīt ikdienas rutīnas un uzturēt saikni. Uzņēmums darbojas B2C SaaS un produktivitātes risinājumu jomā, radot rīkus, kas atbalsta ģimenes ikdienā un nozīmīgu pārmaiņu laikā.
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Vakances uzņēmumā

Analytics Engineer, Finance and Modeling

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

FRFrancija
55 000 € – 70 000 € / gads
AttālinātiPilna slodzeVidējais līmenisVecākais speciālistsNepieciešamā Valoda: angļuAnalītikas inženieris
PythonSQLTableauUnity

Apraksts

  • 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.

Prasības

  • 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.

Priekšrocības

  • The posting does not state specific benefits or perks.

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