Data Analyst

• Design dashboards, compliance metrics, and regulatory reports
• Turn data into actionable insights for stakeholders, cross-functional partners, and regional compliance officers
• Automate end-to-end compliance-related data solutions, governance controls, and workflows
• Analyze large, complex datasets and develop scalable, audit-ready data models
• Translate regulatory and business requests into reports and automated data pipelines using Python, SQL, dbt, and Airflow
• Lead cross-functional projects with analysts, engineers, and compliance teams
• Build and maintain high-quality data pipelines and data sources
• Coordinate client data quality monitoring, identify issues, flag remediations, and ensure timely resolution
• Support ad-hoc data requests for audits, examinations, risk assessments, and business needs
• Deliver clear, data-driven insights that shape compliance direction

Data Analyst – Regulatory Analytics and Reporting

• Ensure the quality of models for financial risks including VaR, PFE, IRRBB, CaR, and ILAAP.
• Conduct in-depth model reviews and verify adherence to business and regulatory requirements.
• Investigate model methodologies and provide insights to Group Committees.
• Test model assumptions and performance.
• Assess model infrastructure.
• Investigate requirements.
• Consolidate analysis into validation reports.
• Present results to Group Management.
• Develop advanced tools for process improvement.
• Collaborate with CRO Function professionals across Nordic and Baltic countries.

Quantitative Analyst – Market Risk Model Validation

• Automate recurring finance data processes, including reconciliation and reporting
• Build and maintain DBT models
• Own data quality and controls through automated completeness and accuracy checks, anomaly detection, and monitoring/alerting
• Work with Data Engineers, Finance, and Accounting teams to gather data requirements and establish validation rules
• Align processes across systems
• Generate regular reports and document resolutions
• Maintain process documentation for audit and team reference
• Integrate new product data into existing data flows

Senior Data Analyst, Finance

• Build dashboards and analyze customer behavior in response to email marketing initiatives
• Measure promotions, pricing, value creation, and engagement initiatives
• Draw conclusions, insights, and suggestions for new initiatives
• Collaborate with the Retention team on customer engagement and retention tests/actions
• Define and calculate KPIs and key metrics
• Monitor KPIs and metrics in automated reports and dashboards
• Execute ad-hoc analyses

Data Analyst jobs in Lithuania

Data Analyst – Regulatory Analytics and Reporting

Quantitative Analyst – Market Risk Model Validation

Senior Data Analyst, Finance

Retention Data Analyst