Top Data & Analytics Jobs in Dallas, TX

Seeking a SOX Controls Tester with expertise in ITGC and automation testing, focusing on SOX compliance and control testing procedures.

The Infra BA will support both business and technical teams, analyzing requirements, project managing, and creating essential documentation like BRDs. They will leverage technical skills, communication abilities, and problem-solving capabilities to enhance project delivery.

The Data Engineer will analyze, develop, implement, test, and support data warehouse projects. Responsibilities include project support, data validation, and enhancing data management processes, all while collaborating with team members and improving performance.

The Systems Analyst supports end-users, configures and tests systems, ensures quality through testing, and communicates changes effectively to stakeholders.

The Collibra Lead will define Data Governance Organization, develop a business glossary, lead workshops, ensure alignment with executive vision, and design technical architecture.

The job involves analyzing data to support business decisions and help improve profitability but lacks detailed responsibilities in the description.

The Lead Data Analyst will lead data analysis for public health projects, supervise analysts, and develop statistical models and reports.

Lead design, build, and operate scalable AWS-based data pipelines and real-time ingestion for analytics and ML. Implement data modeling, automated validation, observability, and event-driven architectures; mentor engineers and collaborate with Product and ML teams to productionize feature stores and ML-ready datasets.

Design, build, and optimize T-SQL queries, stored procedures, and SSIS ETL packages. Provision and maintain AWS RDS instances, monitor performance, apply security best practices, migrate legacy packages, support BI/reporting teams, and participate in code reviews and data architecture.

Produce, maintain, and validate standardized non‑financial risk reports (issues management, regulatory change, risk profile). Execute data validation and quality controls, fulfill ad hoc GRC data requests, coordinate with data owners and technology, support UAT, and partner across enterprise risk teams to ensure accurate, timely reporting and alignment with methodologies and risk appetite.