analytics engineer for operations

Finom provides a product and offers a stock options program to its team members.

• Own the Operations data model, covering reconciliation, treasury, payments, lifecycle, and onboarding, and turn raw operational events into documented, trustworthy data products on the DWH
• Partner with Operations stakeholders on day-to-day questions, ad hoc requests, and recurring reporting, serving as their primary data contact while moving repeatable questions toward self-service
• Examine the processes behind metrics, identify manual effort and fragile handoffs, and determine which tools could address them
• Define and maintain key metrics for reconciliation accuracy, treasury positions, payment success and failure rates, and onboarding conversion within the team's central metric architecture
• Participate in data quality and governance practices for the domain
• Propose and help implement process and product changes based on operational insights
• Learn the Operations domain, its workflows, and reporting; meet stakeholders and teammates; and deliver an initial scoped fix or data product from the backlog during the first month
• Own at least one Operations sub-domain's metrics end to end within the first three months, contribute to shared Risk/TRI discussions, and bring a process or tooling suggestion to a stakeholder
• Within six months, become a data partner to Operations stakeholders, enable self-service for routine checks, and take independent ownership of assigned data and workflows

• Experience as an analytics engineer or senior analyst on technical projects involving data modeling on a modern data platform such as Databricks, Spark, or dbt
• Excellent SQL skills for analytical work and ability to use Python where SQL is insufficient
• Ability to gather requirements directly from operational stakeholders and turn ambiguous requests into clear, documented metrics
• Prioritize precision over speed when the two conflict
• Ability to reconcile differing stakeholder definitions of the same metric
• Understand operational processes and identify tools or automation that remove work; proactively advocate for change
• High autonomy and self-direction
• AI-assisted workflows and tools are part of your regular work
• Будет плюсом: experience in banking, fintech, treasury, or payments operations; experience across stakeholder groups with overlapping but different needs; familiarity with regulatory or financial reporting data requirements; occasional exposure to BI-layer reporting such as PSM or lifecycle reporting

• Stock options are available to every team member
• Resources and opportunities for continuous personal and professional development
• Work & Swim Program: one month in a corporate apartment in Cyprus
• The company uses AI tools to support parts of the hiring process; final hiring decisions are made by humans
• The role can be performed remotely or in a hybrid model across Europe