Top Analysis Reporting Jobs in San Antonio, TX

Design, build, and maintain scalable AWS data pipelines and data lakes. Migrate legacy data to AWS, implement ETL/ELT, optimize storage and query performance, and enforce data quality, governance, and monitoring while collaborating with DBAs, data scientists, and stakeholders.

Design, document, and manage logical and physical data models; gather business requirements; produce mapping and technical specifications; support data integration, ETL, warehousing, and BI teams; govern data security and metadata; lead data discovery and model reviews; develop data catalog and stewardship practices; use Tableau/Power BI for visualization support.

Design and build Power BI datasets and reports, author and optimize SQL against Oracle and SQL Server, perform data quality assessment and validation, implement visualization best practices, document data solutions and collaborate to productionize datasets and governance.

Serve as a Business Systems Analyst supporting DISA GSM-O II: elicit and translate business requirements into functional/technical artifacts, manage user stories in Jira, perform data extraction/cleansing and modeling, support data governance and integrations (Master Data), author documentation, mentor junior staff, participate in UAT, and support AWS/ServiceNow integrations in an Agile environment.

The Senior Data Engineer designs and optimizes scalable data pipelines using Azure services, collaborates with teams, mentors others, ensures data quality, and drives innovation in data architecture.

Analyze check fraud chargebacks, charge-offs, and Reg E disputes using VISA Data Manager and related systems. Produce reports, requirements, process documentation, and analytical write-ups to identify trends and recommend solutions for fraud reduction.

Design and implement data models for data marts (star schema) and normalized data warehouses. Serve as an individual contributor on complex data warehousing and BI projects. Use ERwin and SQL; architect RDBMS solutions on Netezza, UDB/DB2 or Teradata. Perform data profiling with IBM InfoSphere Information Analyzer. Work within the banking domain.

The Database Engineer will design and maintain database systems, optimize queries, support data integrity, and implement backup strategies in a mission-critical environment.

Senior SAS Programmer to analyze complex enterprise business problems, design cost-effective systems, develop and test solutions, train users, and mentor junior staff. Requires advanced SAS programming and Microsoft BI stack (T-SQL, SSRS, SSIS) with mortgage domain expertise to support enterprise-wide technology initiatives.

The Data Analytics Audit Analyst II ensures internal controls are effective, analyzes audits, collaborates on AI strategies, and enhances audit processes using data analytics.