Senior Analytics Engineer

Finom

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

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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data modeling and analytics within the Operations domain, focusing on reconciliation, treasury, payments, and onboarding metrics. Proficient in SQL and Python, with a strong emphasis on data quality, governance, and process improvement.

Highest-signal resume keywords

Data ModelingSQL ProficiencyPython ProgrammingOperations Metrics ManagementRegulatory Reporting

ATS Keywords

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Hard Skills

Data ModelingSQLPythonData AnalysisMetrics DefinitionProcess ImprovementData QualityGovernance PracticesAutomation ToolsAI-Assisted Workflows

Soft Skills

Stakeholder EngagementPrecision-FocusedAutonomySelf-DirectionCommunication

Tools & Technologies

DatabricksSparkDbtBI-Layer Reporting Tools

Industry Keywords

BankingFintechTreasuryPayments OperationsRegulatory 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 while promoting self-service reporting
Analyze end-to-end processes, identify manual effort or fragile handoffs, and recommend appropriate tools
Define and maintain metrics for reconciliation accuracy, treasury positions, payment success/failure rates, and onboarding conversion
Work within the team's 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 data fix or product
Own at least one Operations sub-domain's metrics end to end
Contribute to shared Risk/TRI discussions and develop process or tooling suggestions

Requirements

What you’ll need

Experience as an analytics engineer or senior analyst on technical 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 documented metrics
Precision-focused 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 useful tools or automation
High autonomy and self-direction
Experience 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
Exposure to BI-layer reporting preferred

Benefits

Comp & perks

Continuous personal and professional development opportunities
Flexible travel and remote or hybrid work across Europe
Stock Options Program available to every team member
Supportive, modern, friendly, and eco-conscious corporate culture
Work & Swim Program: one month in a corporate apartment in Cyprus