Senior Financial Data Analyst

About the Role

We're looking for a Financial Data Analyst to join our IT team and support the day-to-day operation of our financial data warehouse built on Microsoft Fabric. You'll work closely with both the IT and Finance teams — maintaining data pipelines, ensuring data quality, supporting period close, and helping improve how the two departments work together.

This is a hands-on role focused on data operations and financial reporting. You'll manage data pipelines, validate financial data, maintain account mappings, and serve as the go-to person for the Finance team's data-related questions. Experience with AI tools like ChatGPT or Claude for productivity is a plus.

DWH Operations & Financial Data

• Operate and monitor financial data pipelines in Microsoft Fabric — daily checks, troubleshooting, refreshing
• Validate data quality at each period close: completeness across all entities, mapping accuracy, reconciliation with source systems
• Maintain and update account mapping files (GL accounts, projects, cost centers) in coordination with the Finance team
• Manage SSAS model refreshes on Azure Analysis Services for Excel and Power BI users
• Onboard new country entities into the DWH by replicating existing pipeline patterns
• Support the budget cycle: template preparation, data loading, model updates

Finance Liaison

• Serve as the primary IT contact for the Finance team on all data-related questions
• Handle ad-hoc data requests: extracts, reconciliation checks, report adjustments
• Understand and work with standard financial reports: Profit & Loss (P&L), Balance Sheet, and Cash Flow
• Support Finance during period close — validate data in real time, fix mapping issues, ensure models are refreshed promptly
• Establish regular communication with Finance to track open requests and upcoming needs

AI & Productivity Tools

• Use AI assistants (ChatGPT, Claude) to improve personal productivity — writing queries, analyzing data, drafting documentation, troubleshooting issues faster

Must Have

• SQL — confident working level (queries, data validation, joins, aggregations)
• Power BI / DAX measures knowing
• SSAS models / Tabular models
• Understanding of financial reports: P&L, Balance Sheet — you should know what these reports show and how the numbers connect
• Strong attention to detail — this role exists to catch data errors before they reach reports

Навыки

• SQL
• Power BI
• DAX
• SSAS
• Microsoft Fabric
• Azure Analysis Services
• Excel