Top Senior Data & Analytics Jobs in San Antonio, TX

Lead data-driven strategies and analytics at PwC, motivating teams to improve business performance and decision-making through advanced techniques and collaboration.

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, deploy, and manage highly available AWS database solutions. Optimize performance, implement security/compliance (KMS, IAM, HIPAA/FedRAMP/SOC2), automate provisioning/migrations (DMS/SCT), integrate IaC and CI/CD, monitor via CloudWatch and Performance Insights, troubleshoot incidents, and collaborate with developers, architects, and DevOps.

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.

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.

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.

Work with data scientists, engineers, and BI developers to deliver end-to-end data solutions using the modern data stack. Build reports, dashboards, KPIs, and ad-hoc analyses; support data modeling, validation, governance, and ML model tuning to inform business decisions.

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.

The Statistical Modeler will build and validate predictive models using statistics and modeling techniques. The role involves analyzing data, interpreting findings, and collaborating with cross-functional teams.

The Tealium Consultant will lead the implementation of Tealium Tag Management, develop technical solutions using Javascript, AngularJS, and ReactJS, and analyze data using web analytics tools, especially Adobe Analytics.