Top Analysis Reporting Jobs in San Antonio, TX

Designs and builds Snowflake-based enterprise analytics solutions for banking data. Responsibilities include modeling Jack Henry core banking data using Kimball dimensional methods, developing tested and documented dbt pipelines, integrating third-party feeds and API payloads, and optimizing Snowflake performance, security, and query execution. The role also involves JSON transformation, collaboration with Python developers, GitHub version control, and data quality automation in hybrid Linux and Azure environments.

Perform category analytics and insights to support sales and CPG category management using retailer POS and syndicated data (Circana/IRI/NielsenIQ). Drive assortment planning, store clustering, presentations, and recommendations; partner with clients, Space Technology, and CPG teams to influence action and ensure quality deliverables.

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.

Deliver analyses, dashboards, and reports using AWS, Snowflake, dbt, and BI tools. Support data modeling, validation, KPI development, ad hoc requests, and collaborate with data engineers and scientists to drive business decisions.

Support sales and CPG category management through multi-source data analysis (retailer POS, NielsenIQ/Circana). Produce insights, presentations, and recommendations for assortment, item performance, and store clustering. Collaborate with clients, Category Management, and Space Technology teams to drive action and deliver quality results.

Design, build, and maintain scalable ETL/ELT pipelines, data warehouses, and data lakes. Ensure data quality, governance, and security while enabling BI and analytics. Provide technical leadership, mentor junior engineers, and collaborate cross-functionally to drive architecture and implementation.

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.

Support AF GeoBase by creating and maintaining enterprise GIS data, producing maps, performing QA/QC to DoD standards, integrating imagery/lidar/survey data, migrating legacy datasets, and using ArcGIS enterprise tools and Agile platforms to manage tasks and documentation.

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.