





Tier-1 bank, metro location, and mid-level generalist analytics role increase candidate competition.
Technical SQL/Big Data skills are transferable, though financial P&L domain knowledge adds industry specificity.
Explicit 4-8 years plus mandatory UNIX, SQL and Big Data skills increase selection strictness.
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Ensure data integrity and accuracy of the Income Repository by analyzing control exceptions and identifying data anomalies.
Manage end-to-end incident resolution for income-related issues, coordinating with IT to resolve support tickets promptly.
Execute monthly Profit & Loss validation reports, investigating anomalies to maintain financial accuracy.
4-8 years of relevant experience as a Financial Data Analyst or in a similar data-focused role.
Proven technical proficiency in UNIX and SQL; experience with Big Data technologies is required.
Bachelor’s or equivalent degree.
Work Experience Required: 4-8 years.
Technically skilled in data analysis with experience in using UNIX, SQL, and Big Data tools, potentially familiar with SAS and Tableau.
Operates independently with strong problem-solving ability and accountability for data accuracy and issue management.
Experienced in coordinating across teams, especially IT, to manage incidents and validate key financial reports.