We are looking for a Finance Data Analyst with strong technical and reporting expertise to take full ownership of financial data preparation, consolidation, and reporting outputs across Service Lines. The role focuses on building, maintaining, and delivering accurate, consistent, and scalable financial reports and datasets in required formats. The Finance Data Analyst is responsible for the technical production of financial information, ensuring high data quality and readiness for further analysis and interpretation by senior finance stakeholders.
Key Responsibilities
1. Financial Reporting & Data Ownership
- Own the end-to-end process of financial report preparation, including data extraction, transformation, validation, and consolidation.
- Produce recurring and ad-hoc management and stakeholder reports in required formats (e.g. MBR, EQT, SL reporting).
- Ensure consistency of figures across reports, systems, and data sources.
- Act as the primary owner of financial reporting datasets used for downstream analysis.
2. Power BI & Reporting Solutions
- Design, build, and maintain Power BI dashboards, datasets, and reporting models.
- Translate reporting requirements into robust, scalable Power BI and Excel solutions.
- Continuously improve automation, structure, and performance of reporting outputs.
- Maintain documentation of reporting logic and data flows.
3. Data Consolidation & Technical Finance Support
- Consolidate financial data across Service Lines, regions, and legal entities.
- Prepare structured datasets to support:
o Monthly Business Reviews (MBR)
o Internal and external stakeholder reporting - Ensure correct mappings, allocations, and reconciliations across reporting layers.
- Support enhancements across MSL, PE, and other reporting frameworks.
4. Data Quality, Controls & Validation
- Perform detailed data validation, reconciliations, and variance checks prior to report delivery.
- Identify and resolve data quality issues in cooperation with data source owners.
- Establish and maintain reporting controls to ensure accuracy and repeatability.
5. Process Improvement & Standardization
- Identify opportunities to streamline reporting processes and reduce manual effort.
- Support finance transformation initiatives related to reporting, tooling, and data flows.
- Contribute to building a scalable and reliable reporting foundation to support growing Service Line demands.
