Senior Analytics Engineer, Finance Data

🔥 1 minute ago

🌐 Spain, Netherlands, +3 more countries – Remote

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

💵 €63.5k - €846k / year

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 7%

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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 support • 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 day-to-day work • Support corporate finance and investor reporting using a shared model and definitions • Design and evolve Finance data models, 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 reduce recurring manual work • Identify process 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 over time • Mentor others on analytics-engineering practice

🎯 Requirements

• Experience working in or closely with Finance, including treasury, reconciliation, accounting or FP&A • Understanding of finance-function processes, including close, cash and liquidity, reconciliations and 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 • Precision-over-speed approach when the two conflict • Ability to understand business processes, propose solutions and frame them in terms of business value • Databricks and Unity Catalog experience (nice to have) • Experience integrating ERP, accounting, banking or treasury systems (nice to have) • Experience with workflow automation or agents in finance processes (nice to have) • CI/CD, orchestration and infrastructure-as-code experience (nice to have) • Background in fintech, banking or payments (nice to have)

🏖️ 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 that take on routine work • Opportunities to mentor others on analytics-engineering practice

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