Lead Analytics Engineer – Finance Data, FinOps

🔥 12 minutes ago

🌐 United Kingdom, Netherlands, +4 more countries – Remote

🇬🇧 United Kingdom – Remote 🇳🇱 Netherlands – Remote 🇪🇸 Spain – Remote 🇵🇱 Poland – Remote 🇨🇾 Cyprus – Remote 🇩🇪 Germany – Remote

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 18%

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Finom

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2019

💳 Fintech

💸 Finance

🤝 B2B

Fintech • Finance • B2B

Finom is a fintech company offering comprehensive financial services for SMEs, freelancers, and companies. The platform provides tools for invoicing, expense management, and easy online account opening with added benefits like cashback and international IBAN accounts. Finom ensures data security through partnerships with banks like SolarisBank and Treezor, making it a fast and reliable service for business financial management.

📋 Description

• Partner with Treasury, Reconciliation and Accounting teams on processes, priorities and data needs • Build treasury data products covering positions, cash flows and liquidity • Build and scale reconciliation processes for systematic handling of matching, breaks and exceptions • Support Accounting with data, checks and integrations for close and daily work • Support corporate finance and investor reporting using a shared model and definitions • Design and evolve the Finance data model, entities and metrics with tests, lineage and documentation • Set Finance data standards and quality checks • Build integrations with Finance systems • Introduce automation and agents into Finance workflows to remove recurring manual work • Assess Finance processes, identify improvements and connect data work to business cost and value • Report to the Head of Central Data • Own the data roadmap for treasury, reconciliation and accounting and mentor others as the role develops

🎯 Requirements

• Experience working in or closely with Finance, including treasury, reconciliation, accounting or FP&A • Understanding of finance functions, including close, cash and liquidity, reconciliations and related reporting • Expert SQL skills • Strong dimensional or semantic data modelling skills • Experience building metrics and data products used by other teams • ETL and data warehouse or lakehouse experience, including onboarding sources end to end • Preference for precision over speed when they conflict • Business consulting approach: understanding processes, proposing solutions and framing them in terms of business value • Databricks and Unity Catalog experience • Experience integrating ERP, accounting, banking or treasury systems • Experience with workflow automation or agents in finance processes • CI/CD, orchestration and infrastructure-as-code • Background in fintech, banking or payments

🏖️ Benefits

• High autonomy and freedom to choose tools and approaches • Ability to trial new vendors and open-source solutions • Incentives for driving change • AI assistants taking on routine work • Opportunities to mentor others on analytics-engineering practice

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