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



high-volume tables), validate data quality, and troubleshoot inconsistencies. N
Partner with stakeholders across functions (Business, Ops, Product, Marketing, Finance, Tech) to gather requirements and deliver reporting solutions. N
Maintain reporting documentation: metric definitions, dashboard logic, refresh cycles, and governance standards. N

nMust-Have Skills &Requirements;
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Banking domain experience is mandatory (retail banking / cards / lending / wealth / digital banking / risk / operations). N
Advanced Excel expertise (Power Query/Power Pivot, pivots, lookups, indexing, nested formulas;
automation is a plus). N
Robust hands-on experience with Tableau or equivalent BI tools (Power BI/Looker/Qlik). N
Proven ability in data analysis + insight storytelling (not just reporting—recommendations matter). N
Experience with performance tracking and forecasting/budget

📌 Hiring: Data Analyst Alibag
🏢 eClerx
📍 Alibag