Saturday Interview Drive (21st Feb- Only Immediate Joiner)- SQL Data Analyst (Finacle-Banking Domain) @ PAN India (Work from office)

• Note : Power BI profiles will not be considered Job Role– SQL Data Analyst (Banking Domain) Employment Type : Permanent Experience : 8+ Years Location : PAN India (Work from office) Role Summary : We are seeking an experienced Data Analyst with a strong background in the Banking domain. The ideal candidate must have deep expertise in SQL and hands-on experience working with core banking systems such as Finacle or FlexCube. The role involves analyzing large banking datasets, generating insights, and supporting business and regulatory reporting. Key Responsibilities : Analyze complex banking data and deliver actionable insights to business stakeholders Write advanced and optimized SQL queries for data extraction, transformation, and validation Work with data from core banking systems (Finacle / FlexCube) for reporting and analysis Perform data profiling, data quality checks, and reconciliation of banking data Prepare detailed data analysis reports for business, risk, compliance, and operations teams Collaborate with business users to understand data requirements and translate them into analytical solutions Support regulatory and internal reporting with accurate and timely data Identify trends, anomalies, and patterns in large datasets Ensure data integrity, consistency, and governance standards are followed Mandatory Skills : 8+ years of experience as a Data Analyst Strong Banking domain experience (Retail Banking / Corporate Banking / Payments / Loans / Cards etc.) Expert-level SQL (complex joins, CTEs, window functions, query optimization) Hands-on experience with Finacle or FlexCube data structures and reporting Experience in data validation, reconciliation, and data quality analysis Strong analytical and problem-solving skills Good to Have : Experience in regulatory reporting (RBI or other banking regulators) Knowledge of data warehousing concepts Exposure to ETL processes Basic scripting knowledge (Shell / Python for data handling) Educational Qualification : Bachelor’s degree in Computer Science, Information Technology, Finance, or related field