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Tier-1 bank, popular mid-level data analyst role in Bangalore with broad SQL/SAS skillset increasing competition.
Requires banking remediation and regulatory expertise, limiting transferability across industries.
Explicit 4-7 years, 2+ years banking, and mandatory SAS/Teradata skills enforce stringent filters.
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Manage and execute data remediation analysis on customer issues in retail banking, identifying impacted customer base and dollar amounts.
Conduct root cause analysis of issues using analytical methods and provide oversight for remediation activities across multiple teams.
Support audit processes by tracking implementation plans and providing data evidence and artifacts.
4-7 years overall experience with at least 2 years in banking industry delivering data solutions.
Master’s or advanced degree in IT, Computer Applications, Engineering, or MBA from a premier institute.
Proficiency in SAS, SQL, RDBMS, Teradata, Unix, MS Excel, PowerPoint, VBA; exposure to Jira, Bitbucket, Mainframes, Big Data, Python.
Good understanding of banking domain and consumer products (Retail Banking, Deposits, Loans, Wealth Management, Mortgage, Insurance).
Experienced in cross-functional coordination and able to manage data analysis impacting core business activities in retail banking.
Strong analytical skills with ability to simplify complex data problems and present findings clearly to management.
Familiar with regulatory finance requirements and risk/control frameworks relevant to retail banking data remediation.