Top Data & Analytics Jobs in San Antonio, TX

The Strategy and Analytics Associate conducts analyses, creates presentations, collaborates with clients and sales teams, and enhances partner relationships to drive value in identity verification services.

The Fraud Intelligence Analyst reviews applications for fraud, investigates cases, collaborates with teams to enhance fraud models, and provides detailed reports.

The Sr Business Systems Analyst will implement and support Oracle Application finance solutions, gather business requirements, lead projects, and optimize processes for financial operations.

Lead the biostatistics efforts for clinical studies, providing technical guidance, statistical analysis, and overseeing CRO teams while ensuring regulatory compliance.

The HR Technology BI Developer designs and enhances the HR analytics platform, develops scalable solutions, and collaborates with global teams to improve workforce analytics and compliance.

The Revenue Cycle BI Developer will design and implement data extraction solutions, conduct data analysis, and support reporting needs using various BI tools.

The Stop Loss Claims Analyst reviews, analyzes, and adjudicates stop loss claims, ensuring proper adherence to policy terms and guiding clients through complex claims.

The Senior Data Analyst will deliver analytics solutions, develop KPIs and dashboards, conduct advanced analysis, and mentor junior analysts while collaborating with stakeholders.

The Senior Analytics Engineer will architect a unified data model, develop scalable dbt models, enhance data governance, and enable advanced analytics for strategic decisions.

As Associate Director of Data Strategy, you'll develop data strategies for clients, drive data insights and implement technology for media effectiveness, contributing to overall growth and strategy.

The Data Modeler is responsible for designing and maintaining data models, performing data profiling, supporting BI initiatives, and ensuring governance alignment.

This role involves defining data platform standards and integration patterns, mentoring engineers, and maintaining best practices in Azure and Databricks environments. The lead will ensure efficient data management and governance across global teams while advocating for DataOps and CI/CD practices.