Business Data Analyst

Position: Business Data Analyst in Banking Domain Location: Austin, TX (Preferred Locals to Austin, TX and Permanent residents of USA) Duration: Long-Term Contract Experience: 12–15+ Years Key Skills: Data Analysis, strong SQL, ETL, Reporting, Azure Cloud and LoanIQ experience is a plus Job Summary :We are seeking an experienced Senior Data Analyst with 12–15+ years of experience in the Banking domain. The ideal candidate will have strong expertise in data analysis, advanced SQL, ETL, reporting, Azure Cloud, and banking data environments . Candidates should have strong knowledge of commercial banking and lending operations, including loan servicing, loan transactions, loan balances, payments, interest, fees, commitments, and related banking processes. LoanIQ experience is highly preferre d. The candidate will work closely with banking business teams, data engineering teams, application teams, and reporting stakeholders to analyze complex banking data, ensure data quality, support reporting requirements, and deliver actionable insigh ts. Key Responsibilit • ies:Perform advanced data analysis across banking and lending datas • ets.Analyze commercial banking data related to loans, loan accounts, commitments, payments, balances, interest, fees, and transacti • ons.Develop complex SQL queries to extract, analyze, reconcile, and validate banking d • ata.Analyze large datasets to identify data trends, discrepancies, anomalies, and data-quality iss • ues.Work with business stakeholders to understand banking requirements and translate them into data and reporting soluti • ons.Analyze data from banking applications and source systems supporting commercial lending and banking operati • ons.Develop and validate ETL/ELT processes for banking d • ata.Perform source-to-target validation, data reconciliation, data mapping, and data-quality analy • sis.Support development and maintenance of banking reports and operational report • ing.Validate data used for loan, account, transaction, payment, and portfolio report • ing.Investigate data discrepancies and perform root-cause analysis across banking syst • ems.Support data migration, integration, and conversion activities involving banking applicati • ons.Work with Microsoft Azure cloud-based data platforms and banking data environme • nts.Collaborate with data engineers, developers, business analysts, QA teams, and banking subject-matter expe • rts.Support SIT/UAT by performing data validation, reconciliation, defect analysis, and reporting verificat • ion.Prepare technical and functional documentation including data mappings, business rules, data definitions, source-to-target mappings, and reporting specificati • ons.Ensure banking data follows established data governance, data quality, security, and audit standa rds. Required Technical Sk • ills:12–15+ years of experience in Data Analysis / Data Analy • tics.Strong and recent Banking domain experi • ence.Advanced SQL sk • ills.Strong experience with ETL/ELT proce • sses.Strong experience in data analysis, data validation, reconciliation, and data qua • lity.Strong experience with reporting and business intellig • ence.Experience working with Microsoft Azure cloud technolo • gies.Strong understanding of relational databases, data warehouses, data models, and enterprise banking • data.Experience working with large-scale banking data • sets.Strong analytical and problem-solving capabili • ties.Excellent communication and stakeholder-management sk ills.