Top Data & Analytics Jobs in Dallas, TX

The Master Data Manager will develop data strategies, manage workflows, enhance data quality, and lead data management teams to achieve business goals.

Implement and support MicroStrategy reporting (with Cognos skills preferred) in data mart/data-warehouse environments. Work with Oracle and SQL Server backends and apply dimensional modeling knowledge. Full-time, onsite role in Dallas requiring US citizen/GC/EAD work authorization.

Elicit and analyze requirements, convert them to logical/physical designs, coordinate stakeholders and manage timelines. Design and optimize Teradata and Mainframe data solutions, build SQL objects (views, stored procedures, macros, functions), use Teradata utilities (TPT, TPump, BTEQ, FastLoad, FastExport, MultiLoad), and apply BI/DW and performance-tuning best practices.

Support creation, maintenance, and quality of master data across ERP and business systems. Perform data validation, cleansing, governance, integrations monitoring, reporting, documentation, project testing, and basic end-user support.

Lead technical onboarding and integration of clinical and claims data, manage EMR/API/SFTP integrations, design data flows and documentation, perform data QA/validation, troubleshoot issues, and manage go-live and post-implementation support.

Leads pricing analytics initiatives, develops strategies for risk-based pricing, collaborates with leaders, prioritizes analytics projects, and enhances customer experience.

The VP, Head of Policy & Data Operations manages data governance and operations for proxy voting policies, ensuring data integrity and operational excellence while collaborating across teams to optimize processes and manage risks.

The Credit Risk Analyst will produce reports and analytics for credit risk monitoring and evaluation, automate reporting processes, and support regulatory compliance.

Design, build, and maintain enterprise analytics solutions and semantic data models using Microsoft Fabric, Databricks, SQL, Python, and BI tools. Deliver scalable reporting datasets, executive dashboards, data quality standards, and CI/CD practices. Lead architecture discussions, mentor engineers, collaborate with stakeholders, and drive analytics strategy to enable data-driven decisions.

Contribute to building and maintaining cloud-based data pipelines and data products. Develop, test, and optimize SQL and Python transformations, participate in code reviews, troubleshoot data quality issues, and follow CI/CD and documentation practices to support analytics and AI initiatives.