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Tier-1 employer, mid-level generalist data/analytics role, and metro location create high applicant competition.
Requires banking liquidity and product-control domain knowledge, so candidates from outside finance face high friction.
Explicit 10-year requirement plus mandatory BI, SQL, data modelling and reporting skills make filtering strict.
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Lead design and build of scalable data models, pipelines, and reporting solutions supporting liquidity product analytics including pricing, P&L, and product performance.
Develop and maintain dashboards and decision-support tools (Tableau/Power BI) providing insights to global stakeholders across Product, Treasury, Finance, and Technology functions.
Collaborate internationally to translate business requirements into data-driven solutions, supporting product strategy, commercial decision-making, and enhancing Product Control capabilities in India.
6–10 years experience in analytics, business intelligence, or data engineering roles within financial services.
Proficiency with Tableau or Power BI, strong SQL skills, and experience in data modeling and ETL processes.
Bachelor’s or master’s degree in Engineering, Computer Science, Mathematics, Finance, or related discipline.
Work Experience Required: 6–10 years in relevant analytics/BI/data engineering roles.
Technically strong with advanced data analytics and BI development skills combined with functional knowledge of liquidity products and financial services domain.
Experienced in delivering scalable, automated reporting and dashboards in a global, cross-functional environment.
Capable of bridging business and technology teams to provide actionable insights supporting product strategy and commercial impact.