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Tier-1 brand and Gurgaon metro increase interest, while senior banking analytics specialization limits applicants.
Strong banking operations, regulatory and domain-specific analytics requirements reduce cross-industry transferability.
Explicit 8+ years plus banking analytics domain and specific BI/automation toolset requirements increase filter rigidity.
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Drive development and implementation of analytical solutions to support banking operations and analytics under the Chief Operating Officer.
Develop and maintain automated data processes, dashboards, and reports using SQL, Python, Tableau, and related tools to optimize operational efficiency and decision-making.
Interface with business and technology teams to digitize data collection, ensure data quality, and communicate insights to stakeholders for business execution.
8+ years of experience in reporting, automation, and data/information management analytics roles.
Proficiency with SQL, SAS, Python, PySpark, Tableau, and other data visualization or scripting tools.
Bachelor’s degree in STEM required; Master’s degree preferred.
Experience in banking operations analytics (e.g., expense analytics, cash flow management, fraud analytics) and knowledge of regulatory data privacy/security requirements.
Experienced data analyst with a strong track record delivering actionable insights and automation in banking or financial services operations.
Skilled at handling large, complex datasets and building scalable analytics frameworks involving process optimization and AI/Gen AI solutions.
Proven ability to bridge technology and business teams, driving data-driven decisions with clear stakeholder communication and documentation.