Top Data & Analytics Jobs in Dallas, TX

The Business Analyst will manage business and system requirements for the Medicaid Managed Care Program, focusing on UAT Testing, stakeholder liaison, and requirement traceability throughout the project lifecycle.

The Global Indirect Tax Automation Manager will manage third-party tax systems and custom billing system implementations, focusing on requirements gathering, design, build, and testing.

The SAP Business Analyst will gather requirements, define RTR needs, lead workshops, and support SAP S/4HANA implementation with a focus on the CO module.

Responsible for developing enterprise solutions, translating business roadmaps into technology architectures, and managing complex requirements in a team environment.

The Data Engineer will design and implement data models, build ETL pipelines, and ensure data quality for manufacturing data analytics.

The SAP SD Business Analyst will gather requirements, configure SAP solutions, lead business workshops, and enhance business systems processes.

The Data Program Architect shapes the architecture for the enterprise data platform, ensuring compliance, scalability, and effective data management; leads design for data systems, selects tools, and collaborates with cross-functional teams to align technology with business goals.

The Growth & Development Analyst role involves evaluating data center development opportunities, conducting market research, performing financial analysis, and managing transactions while supporting senior leaders in high-impact projects.

The Data Architect will design and maintain the data infrastructure, focusing on data governance, AI/ML integration, and supporting analytics through schema evolution and transactional data architecture.

Lead technical delivery of integrations between Solvas, Middle Office systems, and the client Portal. Design, build, and operate ETL/ELT pipelines, ensure data consistency, quality, reconciliation, and performance tuning of SQL Server objects. Mentor engineers, establish monitoring/runbooks/incident response, partner with product and operations, and evaluate modern data platforms (Databricks, Snowflake) and AI tools to improve scalability and delivery.