Senior Analytics Engineer

Finom

. Own the Operations data model covering reconciliation, treasury, payments, lifecycle, and onboarding .

Posted 10/7/2026full-timeRemote • Poland, SpainSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data modeling, SQL, and Python to create reliable data products and metrics within the Operations domain. Capable of analyzing processes, promoting automation, and ensuring data quality and governance.

Highest-signal resume keywords

Data ModelingSQL SkillsPython ProgrammingOperational Process AnalysisRegulatory Reporting

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data ModelingSQLPythonMetrics DefinitionData Quality PracticesProcess ImprovementAutomation IdentificationData GovernanceReconciliation AccuracyPayments Success Rates

Soft Skills

Precision-Oriented ApproachHigh AutonomySelf-DirectionStakeholder CommunicationProblem-Solving

Tools & Technologies

DatabricksSparkDbtAI-Assisted WorkflowsBI Tools

Industry Keywords

BankingFintechTreasury OperationsPayments OperationsFinancial Reporting

Tech Stack

Tools & technologies

PythonSparkSQL

About the role

Key responsibilities & impact

Own the Operations data model covering reconciliation, treasury, payments, lifecycle, and onboarding
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
Serve as the primary data point of contact for Operations
Promote self-service for routine, repeatable questions
Analyze end-to-end processes to identify manual effort and fragile handoffs
Identify tools and automation that solve operational problems
Define and maintain metrics for reconciliation accuracy, treasury positions, payment success/failure rates, and onboarding conversion
Work within the central metric architecture
Participate in data quality and governance practices
Propose and implement process and product improvements
Learn the Operations domain and deliver an initial fix or data product
Own at least one Operations sub-domain's metrics end to end
Contribute to shared Risk/TRI discussions
Establish independent ownership of data and workflows

Requirements

What you’ll need

Experience as an analytics engineer or senior analyst on technical data projects
Experience with data modeling on a modern data platform such as Databricks, Spark, or dbt
Excellent SQL skills for analytical work
Ability to use Python for tasks SQL does not cover well
Ability to gather requirements from operational stakeholders and turn ambiguous asks into clean, documented metrics
Precision-oriented approach, especially for regulatory and financial reporting data
Ability to reconcile differing stakeholder definitions of the same metric
Ability to understand operational processes and identify effective tools or automation
High autonomy and self-direction
Familiarity with AI-assisted workflows and tools
Background in banking, fintech, treasury, or payments operations preferred
Experience across multiple stakeholder groups preferred
Familiarity with regulatory or financial reporting data requirements preferred
Occasional BI-layer reporting exposure preferred

Benefits

Comp & perks

Continuous personal and professional development resources and opportunities
Flexibility to travel and work remotely or in a hybrid model across Europe
Stock Options Program available to every team member
Constant support and care
Modern, friendly, and eco-conscious corporate culture
Work & Swim Program: one month in a corporate apartment in Cyprus