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Job Description
Structured overview of role & requirementsAbout This Role
Develop, optimize, and maintain complex SQL queries and SAS scripts/macros to extract and analyze financial and transactional datasets.
Conduct data reconciliation, validation, quality assessments, and root cause analysis for data discrepancies, collaborating with data owners to resolve issues.
Translate business requirements into high-impact data deliverables and explore adoption of AI tools to improve operational efficiency.
Minimum Requirements
Minimum 3+ years of hands-on professional experience in data analysis, reporting, and database programming.
Intermediate to advanced proficiency in Base SAS, SAS Macros, PROC SQL, and data step processing.
Strong hands-on SQL skills including complex joins, subqueries, window functions, indexing, and query optimization; basic knowledge of Python/Spark and HIVE.
Good to have experience with BI/reporting tools such as Tableau, Power BI, Qlik, MicroStrategy, or SAP BusinessObjects; domain understanding of banking and financial services operations.
Ideal Candidate Profile
Experienced in financial services domain with core strengths in data extraction and transformation using SAS and SQL within enterprise environments.
Able to perform detailed data quality assessments and root cause analysis with strong analytical and logical skills.
Familiar with operationalizing AI or modern automation tools to enhance data workflows and reporting efficiency.