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Lead Analytics Engineer - Finance Data (FinOps)

DataWorkplace — unknown
Published on 2026-11-02
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.

About this role

Lead Finance data work supporting treasury, reconciliation and accounting. Build reliable data models, integrations and automation while partnering with Finance to improve processes and deliver measurable business value.

About the company

Finom is a European business banking and finance platform that combines accounts, cards, invoicing, and accounting tools for SMEs and entrepreneurs.

The team

Small central data team, reporting to the Head of Central Data and partnering primarily with Finance.

What you'll do

  • Partner with Treasury, Reconciliation and Accounting on processes and priorities.
  • Build trusted treasury data products for positions, cash flows and liquidity.
  • Scale reconciliation workflows for matching, breaks and exceptions.
  • Support accounting close and daily work with data, checks and integrations.
  • Design Finance data models, metrics, tests, lineage and documentation.
  • Set Finance data quality standards and integrate Finance systems.
  • Introduce automation and agents to reduce recurring manual work.
  • Own the long-term data roadmap for treasury, reconciliation and accounting.

What we're looking for

  • Experience working in or closely with Finance, especially treasury, reconciliation, accounting or FP&A.
  • Understanding of financial close, cash and liquidity, reconciliations and Finance reporting.
  • Expert SQL and strong dimensional or semantic data modelling skills.
  • Experience building data products and metrics used by other teams.
  • ETL and data warehouse or lakehouse experience, including end-to-end source onboarding.
  • Prioritize precision and connect solutions to business value.

Nice to have

  • Databricks and Unity Catalog
  • ERP, accounting, banking or treasury system integrations
  • Workflow automation or agents in Finance processes
  • CI/CD, orchestration and infrastructure-as-code
  • Fintech, banking or payments experience
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