Analytics Engineer, Finance and Modeling

đŸ”„ 1 hour ago

đŸ‡«đŸ‡· France – Remote

đŸ’” €55k - €70k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

đŸ‘» Ghost score 0%

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Logo of In Tandem

In Tandem

51 - 200 employees

đŸ‘„ B2C

☁ SaaS

⚡ Productivity

B2C ‱ SaaS ‱ Productivity

In Tandem is a global technology platform that builds digital tools and apps to support families through key stages and daily life. The company develops and operates consumer-focused family solutions—including co-parenting, family organization, communication and parenting-schedule apps—that aim to improve connection, coordination, and peace of mind for modern families. In Tandem’s products are designed to simplify routines, support co-parenting and family communication, and provide resources during challenging times.

📋 Description

‱ Own metrics, reporting, and reconciliation supporting financial decisions across four subscription and transaction-based brands ‱ Add governed definitions for ARR, renewal rate, churn, and CAC in dbt; document them in Unity Catalog; add defensible tests; and connect them 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 issues upstream with evidence, and convert discrepancies into tests; escalate issues while Accounting owns treatment ‱ Forecast cohort subscribers and revenue, aggregate renewal and retention, and feed the CFO forecast and board reporting ‱ Model LTV by acquisition source to inform paid-spend allocation with Growth ‱ Model pricing and promotional impact before launch ‱ Develop individual churn propensity and uplift models once a retention program can act on the scores ‱ Ship models as tested, lineage-documented scored tables in dbt and Unity Catalog rather than notebooks

🎯 Requirements

‱ 3+ years in analytics engineering, data science, BI engineering or advanced analytics ‱ Statistical modeling shipped into a business process, including forecasting, survival or cohort analysis, or propensity ‱ Ability to measure lift from a price change or growth experiment and interpret results accurately ‱ Experience building and defending subscription metrics to a finance stakeholder, including ARR/MRR, renewal, churn, LTV/CAC, or cohort revenue ‱ Strong SQL and real dimensional modeling; experience designing marts ‱ Python and Git as daily habits ‱ Statistically rigorous understanding of cohort curves, model leakage, and statistical noise ‱ Fluent in finance and able to explain financial metrics ‱ Experience owning analytics work end to end, from business question through model, test, report, and stakeholder discussion ‱ Practical proficiency with Claude Code, coding agents, and agent SDKs ‱ Willingness to work across analytics, financial reconciliation, and dashboard support ‱ dbt, Databricks, Unity Catalog, or comparable lakehouse experience preferred ‱ Experience reconciling transactional data to a financial system of record preferred ‱ Code-first notebook reporting with marimo, Hex, Streamlit, or Quarto preferred

đŸ–ïž Benefits

‱ No explicit benefits or perks stated in the posting

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