Top Senior Data & Analytics Jobs in San Antonio, TX

Collect, combine, and analyze data to produce metrics and insights for Executive Fleet leadership. Build data extracts and visualizations, support staffing and sourcing decisions, improve process efficiency, coordinate workforce approvals, and communicate staffing risks while partnering with cross-functional teams and HR for compliance.

Lead design and implementation of data architecture for healthcare systems, influence stakeholders, mentor teams, ensure regulatory compliance, enable data integration and transformation, and apply AI techniques to improve healthcare operations and reporting.

Designs and executes audit data analytics and continuous auditing tests, partners with audit teams to understand data, interprets and presents analytic results, tracks progress of analytic controls, and recommends remediation. Develops analytic methodologies, dashboards, and data technology to support audit, risk, and control objectives.

Lead data analysis and reporting across programs: extract, merge, and analyze data; develop metrics and questionnaires; build dashboards and presentations; conduct statistical evaluations; produce regular reports; mentor junior analysts; ensure data quality and stakeholder communication.

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.

Designs, builds, and maintains Power BI reports, dashboards, and KPI scorecards. Gathers requirements, writes T-SQL and DAX queries, documents report logic, ensures data integrity, supports report performance, and liaises between business lines and IT. Coordinates peer review, provides user support, and contributes to data warehousing and analytics efforts.

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.

Lead design, development, and modernization of enterprise data platforms and cloud-native analytics solutions. Provide architecture guidance, mentor engineers, build scalable ETL/ELT pipelines, enable data governance, CI/CD/DevSecOps, and optimize performance across data lakes, warehouses, and analytics ecosystems while supporting client-facing technical efforts.

Support extraction, querying, and analysis of Defense medical logistics data (DMLSS/LogiCole). Build data models, automated ETL in Excel/Power Query, reconcile financial/logistics data for AFWCF audit, respond to auditors, merge/clean legacy DoD datasets, and design scalable dashboards and reports for leadership.

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.