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Tier-1 bank, common data role, mid-level experience and metro location increases candidate competition.
Analytics skills transferable across industries, but banking regulatory and RCA experience increases specialization.
Requires SQL/Python/Tableau and governance mindset, but lacks explicit years requirement.
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Lead deep-dive analysis into customer complaints and root cause investigations to identify systemic issues and improve customer outcomes.
Design and build data pipelines and dashboards to automate reporting and enable data-driven decision making across business units.
Translate complex data insights into actionable change proposals, ensuring compliance with DISP and FCA regulatory requirements, and drive embedding of insights into operations.
Experience with root cause analysis, data-driven problem solving, and handling escalations in a professional setting.
Technical proficiency in SQL, Python, data modelling, and data visualization tools such as Tableau.
Strong control, governance, and risk management mindset.
Location requirement: Position based in Gurugram.
Experienced in conducting deep-dive complaint analysis within large-scale, matrixed organizations, particularly in financial or regulated environments.
Able to collaborate and influence cross-functional teams including Product, Journey, Channel, and Operations to embed data-driven change.
Familiar with advanced analytics applications including AI and machine learning, and comfortable working in Agile methodologies.