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Strong Tier-1 brand, mid-level generalist data role in a metro increases applicant competition.
Role requires banking remediation/domain expertise, making background fit highly industry-specific.
Explicit 2-5 years, one year banking requirement, and mandatory SAS/Teradata skills make screening strict.
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Oversee and execute data remediation analysis for customer issues across global retail consumer banking, identifying impacted customers and dollar amounts.
Manage issue tracking and root cause analysis using analytical methods, coordinating cross-functionally with Technology, FSO, Analytics, Shared Services, and Controllers.
Support audit by tracking implementation plans and providing required data evidence and artifacts for completion.
2-5 years overall professional experience including at least 1 year in the banking industry delivering data solutions.
Master’s or advanced degree in Information Technology, Computer Applications, Engineering, or MBA from a premier institute.
Proficiency in SAS, SQL, RDBMS, Teradata, Unix, MS Excel, PowerPoint, VBA; familiarity with Jira, Bitbucket, mainframes; exposure to Big Data and Python is a plus.
Good understanding of banking domain and consumer products (Retail Banking, Deposit, Loans, Wealth Management, Mortgage, Insurance).
Experienced in cross-functional coordination and managing data-driven remediation projects in retail banking.
Comfortable working with complex data tools and analytics platforms to produce actionable business insights and support audit requirements.
Experienced in communicating complex analytical findings clearly to management and stakeholders, with strong process management skills.