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Strong Tier-1 brand, mid-level generalist data role in Gurgaon with broad skill requirements increases competition.
Core analytics and scripting skills are transferable, but banking operations and regulatory experience increase domain specificity.
Explicit 5+ years, required tech stack, banking domain and ML deployment experience create strict filtering.
Drive development and implementation of analytical and automated solutions to improve operational efficiency and insights for Banking Operations & Analytics.
Design and maintain MIS reports and interactive dashboards; lead applied AI and GenAI integration including use of LLMs and predictive analytics.
Analyze workflows for process improvements and communicate data-driven insights to stakeholders, ensuring reliability and governance of reporting systems.
5+ years of experience in reporting, automation, and GenAI with proficiency in SQL, SAS, Python, Tableau, MicroStrategy or similar BI tools.
Proven track record in developing reports, automating tasks (e.g., Python scripting), and deploying AI/ML models in business or financial contexts.
Bachelor’s degree in STEM required; Master’s degree preferred.
Experience with banking operations analytics and knowledge of data privacy and security regulations.
Experienced in handling large, complex, and unstructured data within financial/banking operations environments.
Strong technical skillset combining BI tools, scripting, and applied AI/ML including prompt engineering for LLMs.
Ability to build scalable analytics frameworks encompassing data strategy, process optimization, and visualization for executive-level reporting.