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Finom
Finom
501 – 1,000 Employees
B2BFinanceFintech
Finom is a fintech company serving SMEs, freelancers, and other businesses with practical tools for day-to-day financial management. Its platform brings together invoicing, expense management, online business account opening, cashback, and international IBAN accounts. Founded in 2019, Finom operates in the fintech, finance, and B2B sectors and has a team of 501–1,000 employees. The company supports its financial services infrastructure through partnerships with banks including SolarisBank and Treezor, with a focus on secure, efficient business banking.
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Senior Analytics Engineer - Poland Remote

Lead Operations data modeling and metrics for Finom’s fintech business in a senior analytics engineering role. Improve automation, reporting, and confidence in data used across European operations.

ESSpainPLPolandRemoteFull-timeSeniorEnglish RequiredAnalytics Engineer
PythonSparkSQL

Description

  • Own the Operations data model across reconciliation, treasury, payments, lifecycle, and onboarding
  • Convert raw operational events into documented, reliable data products in the data warehouse
  • Collaborate with Operations stakeholders on daily questions, ad hoc analysis, and recurring reports
  • Act as Operations’ primary data contact for analytics and reporting needs
  • Enable self-service access for routine and repeatable operational questions
  • Examine end-to-end workflows to uncover manual work and weak handoffs
  • Find tools and automation opportunities that address operational challenges
  • Create and maintain metrics for reconciliation accuracy, treasury positions, payment outcomes, and onboarding conversion
  • Follow and contribute to the central metric architecture
  • Take part in data quality and governance initiatives
  • Recommend and deliver improvements to processes and products
  • Build domain knowledge and deliver an initial operational fix or data product
  • Take end-to-end ownership of metrics for at least one Operations sub-domain
  • Contribute to cross-functional Risk and TRI discussions
  • Develop independent ownership of operational data and workflows

Requirements

  • Professional experience in analytics engineering or senior analytical roles involving technical data projects
  • Practical data-modeling experience with a modern platform such as Databricks, Spark, or dbt
  • Advanced SQL capability for analytical work
  • Ability to apply Python where SQL is not the right fit
  • Skill in eliciting requirements from Operations stakeholders and translating unclear requests into clear, documented metrics
  • Careful, precise working style, particularly with regulatory and financial reporting data
  • Ability to align different stakeholder interpretations of the same metric
  • Understanding of operational workflows and the ability to select effective tools or automation
  • Strong autonomy and self-management
  • Working familiarity with AI-assisted tools and workflows
  • Experience in banking, fintech, treasury, or payments operations is preferred
  • Experience collaborating across several stakeholder groups is preferred
  • Familiarity with regulatory or financial reporting requirements is preferred
  • Some exposure to reporting through a BI layer is preferred

Benefits

  • Access to ongoing resources and opportunities for personal and professional growth
  • Option to travel while working remotely or in a hybrid arrangement across Europe
  • Stock options offered to all team members
  • Ongoing support and care from the company
  • Contemporary, welcoming, and environmentally conscious workplace culture
  • One-month Work & Swim opportunity in a company apartment in Cyprus

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