• Own end‑to‑end integration specifications for all global reports
• Define how data flows between systems and into the reporting layer
• Validate and reconcile data across source systems and reporting outputs
• Act as the central point of ownership for reporting logic and assumptions
• Own assumptions, calculations, and logic behind all reported financial metrics
• Ensure reports support finance use cases such as:
• Management reporting
• Actuals vs budget vs forecast
• Project and margin reporting
• Revenue, cost, and profitability analysis Requirements & Stakeholder Management
• Elicit, document, and manage clear reporting requirements from global and local stakeholders
• Translate business questions into structured data requirements for the Power BI reporting team
• Support requirements definition for individual reports and dashboards
• Challenge local requirements to ensure consistency, scalability, and alignment with global standards
• Partner with Finance leadership, regional finance teams, FP&A;, and Controlling to define clear reporting requirements
• Translate finance questions into structured data requirements for the Power BI team Data Definitions & Governance
• Own data definitions, KPI definitions, field mappings, and calculation logic
• Establish and enforce reporting standards (naming conventions, metrics, dimensions, hierarchies)
• Ensure consistent KPI definitions across countries, regions, and business units
• Prevent conflicting numbers and “multiple versions of the truth” Data Modelling & Architecture
• Design and maintain reporting data models (e.g. star schemas, relationships, measures)
• Define grain, dimensions, facts, and aggregation logic
• Partner with Power BI specialists to ensure models support performant and scalable reporting Data Integration & Quality
• Connect and reconcile data from multiple systems (e.g. ERP, HR, project management tools, finance systems)
• Work with messy, incomplete,



and non‑aligned data sources, identifying gaps and inconsistencies
• Validate data quality, completeness, and accuracy before and after go‑live
• Define rules for data transformations and harmonisation Issue Resolution & Continuous Improvement
• Support investigation and resolution of data and reporting issues post go‑live
• Perform root‑cause analysis of discrepancies and work with system owners to resolve issues
• Identify opportunities to simplify, standardise, and automate reporting data flows Documentation
• Maintain comprehensive documentation including:
• Data definitions and KPI dictionaries
• Field mappings and transformations
• Report logic and assumptions
• Data lineage and source‑to‑report traceability Required Experience & Skills
• Significant experience in a Senior Systems Analyst, Integration Analyst, or Reporting Analyst role
• Solid background in enterprise reporting and analytics in a global environment
• Proven experience working with multiple source systems (ERP, HR, project systems, financial systems)
• Strong understanding of data modelling concepts (star schemas, dimensions, facts, measures)
• Hands‑on experience defining data requirements for BI tools (e.g. Power BI, Tableau, similar)
• Excellent ability to work with complex, messy, and inconsistent data
• Strong documentation and stakeholder communication skills Desirable
• Experience in finance or operational reporting in a multi‑country organisation
• Knowledge of data governance and KPI standardisation frameworks
• Familiarity with Power BI data modelling and DAX concepts (requirements‑level, not development)
• Experience working with global reporting programmes or transformations Key Competencies
• Highly structured and detail‑oriented
• Strong analytical and problem‑solving skills
• Able to challenge assumptions and drive data clarity
• Comfortable operating as the single point of ownership for definitions and logic
• Able to balance global standards with local reporting needs

📌 Senior Data Analyst (Chennai)
🏢 Prose on Pixels
📍 Chennai