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Tier-1 brand, generic data analyst title, mid-level experience and metro location drive high competition.
Core SQL, BI, and visualization skills are transferable, though banking domain preference raises specificity.
Explicit years bands plus mandatory SQL/Tableau/SAS and banking domain preference increase filter strictness.
Collect and analyze operational data from cross-functional teams to assess business performance and identify trends.
Develop reports, dashboards, and performance metrics using BI tools (e.g., Tableau) to support decision making and strategic planning.
Recommend operational policy enhancements and support capacity planning through data-driven insights and process improvements.
Work Experience: 2-5 years with Master's degree or 4-7 years with Bachelor's degree.
Mandatory Skills: Expertise in SQL, data management, BI tools (Tableau, Power BI), data warehousing concepts, and ETL processes.
Experience with automation and scripting tools such as Python and SSIS for report generation and data refreshes.
Preferred Domain Knowledge: Banking domain experience and understanding of banking products and operations.
Analyst with strong technical expertise in SQL, data warehousing, BI platforms, and automation scripting aligned to banking operations.
Experienced in translating complex data into actionable insights and communicating effectively with non-technical stakeholders and senior leaders.
Practitioner comfortable working cross-functionally to improve business decision-making, process automation, and operational performance monitoring.