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Strong global bank brand, metro location, and attractive data analytics lead role increase applicant density.
Core data and BI skills are transferable, but banking product expertise makes industry fit moderately important.
Requires specific BI, ETL, and retail banking domain experience so moderate filtering is expected.
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Design, develop, and deploy automation solutions to streamline end-to-end reporting processes using MicroStrategy, Python, SQL, SAS, Power BI, and VBA.
Develop and maintain interactive Power BI and MicroStrategy dashboards for real-time performance tracking and scalable reporting.
Lead data analytics consulting engagements and collaborate with cross-functional teams to deliver high-impact analytical solutions aligned with business priorities.
Proven experience in data automation, reporting modernization, and analytics within retail banking domain.
Strong technical skills in MicroStrategy, SQL, Python, PySpark, Power BI, SAS, and Excel.
Experience building robust data pipelines and ETL processes to support scalable analytics and reporting.
Work Experience Required: Not explicitly mentioned in the JD
Experienced in leading analytical transformation initiatives and deploying scalable reporting solutions in complex business environments.
Skilled in collaborating with business, operations, finance, and leadership stakeholders to translate complex data into actionable insights.
Consultative approach with ability to communicate complex analytics concepts in business-friendly terms to drive data-driven decision-making.