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Tier-1 bank, mid-level generalist data role, metro location and broad technical requirements increase applicant density.
Role is finance-specific (Income Repository and P&L), limiting cross-industry transferability.
Explicit 4-8 years plus mandatory SQL/UNIX/Big Data skills raise filtering strictness.
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Analyze control failures and data anomalies in the Income Repository (IR) to ensure data integrity and provide root cause justifications.
Manage incident resolution and follow-up for income-related support tickets to maintain system accuracy and reliability.
Execute monthly Profit & Loss (P&L) validation reports, investigating and addressing anomalies to ensure financial accuracy.
4-8 years of relevant experience in data analysis or related field.
Proven technical skills with working knowledge of UNIX and SQL; experience with Big Data technologies.
Bachelor’s degree or equivalent experience is required.
Experience or knowledge of SAS or other statistical/data management software is a plus; Tableau experience is also a plus.
Experienced in financial data analysis and control exception management within complex data repositories.
Technically proficient and able to independently analyze, coordinate with IT, and resolve data anomalies and incidents.
Comfortable working with multiple data tools and reporting systems to ensure accuracy and compliance in financial data reporting.