Top Analysis Reporting Jobs in San Antonio, TX

Lead architecture and delivery of enterprise Product Information Management (PIM) solutions. Manage product data lifecycle, ensure data quality and integration, drive innovation, lead client engagements and business development, mentor team members, and improve processes and productivity to meet organizational objectives.

Lead and architect end-to-end Master Data Management (MDM) solutions, manage client accounts and project delivery, mentor team members, ensure data quality/governance, and align MDM implementations with business processes. Drive innovation, oversee integration and data operations, and maintain high standards for deliverables while coaching and developing team performance.

Design and implement data architecture, build and maintain ETL/ELT pipelines, develop data models and integrations, ensure governance and security compliance, mentor junior team members, and collaborate with stakeholders to deliver cloud-based data solutions using AWS, Azure, and GCP.

Support process improvements and strategic initiatives by analyzing complex data sets, developing automation strategies, coordinating cross-functional teams, making data-driven decisions, and coaching team members to improve operational efficiency and the customer experience.

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, 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.

Partner with Campbell's category and sales teams to analyze syndicated and retail data, develop recommendations across product, pricing, promotion and placement, maintain BI tools and dashboards, support category reviews and sales presentations, monitor KPIs, and build client and cross-functional relationships to drive retailer-specific execution.

Lead and execute advanced quantitative analyses to support bank marketing campaigns: define data requirements, integrate and cleanse disparate sources, build predictive/segmentation models, present insights to stakeholders, and operationalize data-driven campaign strategies while ensuring risk and compliance.

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.

Lead marketing and digital analytics for financial institutions: analyze large datasets, build attribution and customer journey models, optimize campaigns via A/B testing, create executive dashboards and automated reports, and partner cross-functionally to improve customer experiences and marketing ROI.

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.

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.