Finance Data Analyst job opportunity at Informa.

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Date2026-04-24T08:39:46.884Z bot
Informa Finance Data Analyst
Experience: General
Pattern: Full-time
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loacation 1st floor, Tower C, Global Technology Park, Outer Ring Road, Bengaluru, Karnataka, India
loacation 1st floor, Tow..........India
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Job DescriptionFinance Data Analyst An innovative role combining deep finance expertise with advanced Power BI capabilities, Alteryx, SQL and AI knowledge to revolutionize financial reporting and analytics. Working alongside senior finance leadership, you will operate with high autonomy to deliver next-generation financial insights through Power BI solutions while maintaining strong financial planning and analysis capabilities.  The position demands exceptional analytical skills and the ability to transform complex financial data into actionable business intelligence. Key Responsibilities • Power BI Development & AI Integration: Design and implement advanced Power BI dashboards incorporating AI capabilities and automated insights while optimizing performance through expert DAX programming •  Data Integration & Transformation: Design comprehensive financial data models, integrate multi-source data using SQL and leverage Alteryx for automated data preparation and transformation processes • Technical Excellence & Governance: Demonstrate expertise in Power Query editing, DAX measures, Power BI server administration including dataflows, semantic models while maintaining gold standard reporting through peer review processes • Stakeholder Engagement & Leadership: Present financial insights confidently to non-finance audiences, support the wider Finance team in aligning business problems with AI-driven solutions, and champion visualization best practices • Innovation & Process Improvement: Lead digital transformation initiatives in financial reporting, pioneer AI technology integration, and proactively identify opportunities for process improvement through automation • Financial Reporting & Analysis: Deliver accurate monthly management reporting dashboards with variance analysis against budget, forecast and prior year, while analysing financial and operational KPIs to identify trends, risks, and opportunities 

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