





Tier-1 brand, mid-level generalist role, and metro Bangalore location increase applicant competition.
Role requires domain-specific credit card/banking experience, reducing cross-industry transferability.
Explicit 4–5 years, credit-card domain experience and listed analytics tools make filters strict.
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Lead and deliver data analytics projects focused on credit card portfolio strategies using client and external data sources.
Develop and implement analytics strategies to improve client performance and profitability, embedded at client office in Bangalore.
Advocate analytics best practices within client teams and explore new methodologies and data sources to enhance solutions.
Degree in a quantitative field (Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent).
4-5 years of analytics experience applying statistical solutions to business problems.
Experience in credit cards and/or retail banking analytics.
Hands-on experience with data analytics/programming tools such as SAS, Hadoop, R, SQL, Python, or Hive.
Experienced in credit card and retail banking analytics with client-facing consulting exposure.
Capable of managing multiple projects simultaneously and communicating analytics insights effectively via presentations.
Strategic thinker with ability to import and adapt successful methodologies from international markets to local client needs.