Lead Analytics Engineer - Finance Data (FinOps)

45 minutes ago
Full-time
Lead
Data Science and Analytics
Finom

Finom

Finom provides an online payment solution that enables entrepreneurs to easily open business accounts and efficiently manage their finances, offering features such as international payments, cashback rewards, and personal assistance to enhance financia...

Professional Services
11-50
Founded 2019
$20M raised

Description

  • Partner with Treasury, Reconciliation, and Accounting teams to understand processes, priorities, and data needs.
  • Build trusted treasury data products for positions, cash flows, and liquidity.
  • Scale reconciliation processes by systematically managing matching, breaks, and exceptions.
  • Provide data, checks, and integrations that support accounting close and day-to-day operations.
  • Support corporate finance and investor reporting through shared data models and definitions.
  • Design and evolve Finance data models, entities, and metrics with testing, lineage, and documentation.
  • Set Finance data standards and quality controls and integrate Finance systems.
  • Introduce automation and agents that reduce recurring manual work in Finance workflows.
  • Identify process improvements and connect data initiatives to business cost and value.
  • Own the data roadmap for treasury, reconciliation, and accounting as the role develops.

Requirements

  • Experience working in or closely with a Finance function, particularly treasury, reconciliation, accounting, or FP&A.
  • Understanding of financial close, cash and liquidity management, reconciliations, and financial reporting.
  • Expert SQL skills and strong dimensional or semantic data modelling experience.
  • Experience building metrics and data products relied on by other teams.
  • Experience with ETL and data warehouses or lakehouses, including end-to-end source onboarding.
  • Ability to prioritize precision when it conflicts with speed.
  • Consultative approach to understanding business processes, proposing solutions, and framing work in terms of business value.
  • Experience with Databricks and Unity Catalog (preferred).
  • Experience integrating ERP, accounting, banking, or treasury systems (preferred).
  • Experience with finance workflow automation or agents, CI/CD, orchestration, infrastructure as code, or fintech, banking, or payments (preferred).

Benefits

  • High autonomy to choose tools, approaches, vendors, and open-source solutions.
  • Opportunity to trial new technologies and drive change within a modern data stack.
  • AI assistants to reduce routine work and focus on complex problems.
  • Clear growth path toward owning the Finance data roadmap and mentoring analytics engineers.
  • English-speaking, long-term focused central data team.

Interested in this position?

Apply directly on the company website

Apply Now

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