Job Description
We are looking for a Banking domain Data Analyst who can turn complex data into clear, decision-ready insights. The role involves advanced Excel & SQL analysis , Tableau , performance tracking , forecasting & budget tracking , and robust stakeholder management across multiple teams. Key Responsibilities Build and manage dashboards & reports using Tableau (preferred) or other BI tools (Power BI, Looker, etc.). SQL skills for data extraction and validation. Exposure to automation (Excel macros/VBA, Python) for reporting efficiency. Perform deep-dive analysis in Advanced Excel (pivot tables, Power Query, complex formulas, data modeling). Track and report business performance KPIs (daily/weekly/monthly), ensuring accuracy and consistency across multiple reports. Drive forecasting, budgeting, and variance tracking (actual vs plan, trend analysis, risks/opportunities). Translate data into storytelling narratives : crisp executive summaries, insights, recommendations, and next actions. Handle large datasets (multiple sources, high-volume tables), validate data quality,



and troubleshoot inconsistencies. Partner with stakeholders across functions (Business, Ops, Product, Marketing, Finance, Tech) to gather requirements and deliver reporting solutions. Maintain reporting documentation: metric definitions, dashboard logic, refresh cycles, and governance standards. Must-Have Skills & Requirements Banking domain experience is mandatory (retail banking / cards / lending / wealth / digital banking / risk / operations). Advanced Excel expertise (Power Query/Power Pivot, pivots, lookups, indexing, nested formulas; automation is a plus). Strong hands-on experience with Tableau or equivalent BI tools (Power BI/Looker/Qlik). Proven ability in data analysis + insight storytelling (not just reporting—recommendations matter). Experience with performance tracking and forecasting/budget tracking (variance analysis, trend modeling). Comfortable managing multiple reports, stak

📌 Data Analyst (Mumbai)
🏢 eClerx
📍 Mumbai