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Analytics Engineer

France, Paris · Job Posted April 11, 2026
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Job Description

You will embed directly in our Assets team to automate investor reporting that is currently done by hand. The first mission is CRG reporting: understand the manual process, identify every data source involved, get them clean and modelled in our dbt/BigQuery stack, and build the reporting apps on top — most likely in Hex — customised per investor where needed. Once CRG reporting is live, the role extends to other high-impact data projects: budget dashboards, a KPI data room, and whatever the business needs next. You will report into the Core Tech team for standards and tooling, but your day-to-day will be spent with the Assets team. The feedback loop is short: build, ship, watch someone use it, iterate.

Job Responsibility

  • Embed directly in the Assets team to automate investor reporting currently done by hand
  • First mission is CRG reporting: understand the manual process, identify every data source involved, get them clean and modelled in dbt/BigQuery stack, and build the reporting apps on top (most likely in Hex)
  • Map the current manual CRG reporting workflow with the Assets team and identify gaps in available data
  • Add, clean, and model new data sources into the dbt transformation layer (Stripe, Qonto, Pipedrive, MS Postgres, Zendesk, among others)
  • Build shared dbt marts that serve as the backbone for all downstream analytics
  • Develop CRG reporting apps and investor-facing dashboards in Hex, tailored per investor where required
  • Reconcile data across sources (financial transactions, occupancy, operational costs) and build tests to keep it trustworthy
  • Set up alerting and data quality monitoring (dbt tests, Elementary → Slack)
  • Once CRG reporting is live, extend to other high-impact data projects: budget dashboards, a KPI data room, and whatever the business needs next
  • Report into the Core Tech team for standards and tooling, but day-to-day spent with the Assets team

Requirements

  • Strong in SQL and dbt
  • Experience building and maintaining transformation layers in a production analytics stack (ideally on BigQuery or similar)
  • Experience building data apps or interactive reports (Hex experience a plus, similar tools like Streamlit, Retool dashboards, Metabase, Looker count)
  • Can write Python for data wrangling, reconciliation scripts, and light automation
  • Experience with data reconciliation work (matching transactions across systems, finding discrepancies, building processes to keep data aligned)
  • Understand the analytics engineering workflow (sources → staging → marts → consumption layer, with testing and documentation)
  • Use AI tools (Copilot, Claude, Cursor, etc.) as part of daily workflow
  • Can sit with non-technical stakeholders, understand their reporting needs, and translate that into a data model and a finished app
  • Comfortable with ambiguity
  • Bias for action and a proven track record of building data products people actually use
  • Fluent in French and English

Nice to have

Hex experience

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