Top Data & Analytics Jobs in Dallas-Fort Worth, TX

Lead the development of data solutions using Palantir Foundry, guiding teams, solving complex problems, and ensuring operational excellence while fostering high performance and collaboration.

As a Senior Associate in the Pricing team, you will design and integrate pricing applications, mentor junior associates, and ensure project quality while engaging with clients in complex revenue management scenarios.

As a Senior Associate in Oracle OFSAA Solution Design, you'll analyze client needs, design solutions using Oracle tools, and lead data projects while mentoring junior teammates. You'll enhance client relationships and develop AI solutions for business transformation.

As a Lead Data Engineer, you will design and develop solutions, collaborate with teams on data technologies, and support cloud-based data warehousing and big data applications.

The role focuses on facilitating workshops for Finance data governance, supporting testing teams, managing data conversion, and troubleshooting MDG Finance issues.

Manage the Data Lake engineering team at Apex Fintech Solutions, driving technical initiatives, collaborating with stakeholders, and ensuring scalable data solutions. Responsibilities include team leadership, Agile facilitation, technical strategy, risk management, and establishing best practices in data engineering.

Responsible for designing and optimizing data warehouses and ETL architecture, analyzing BI data, capturing requirements, and providing technical guidance and support.

The Director, Quantitative Risk Management leads model development for financial products, oversees new product analysis, and ensures model compliance and performance monitoring while managing a team of engineers.

The Data Engineer will design and manage scalable data solutions, focusing on ETL pipelines, data quality, and integration for reliable analytics. They will collaborate with stakeholders to ensure data accuracy and compliance while resolving data issues and optimizing performance.

Responsible for designing, developing, testing, and optimizing data integration solutions, focusing on financial month-end closure and ongoing production support.

The Senior Data Engineer will architect and implement data pipelines, manage their performance, and partner with stakeholders to ensure data accessibility and quality. Responsibilities include assessing data sourcing needs and providing visibility into pipeline status.

The Director, Research - Power Markets is responsible for leading the QA/QC process for long-term forecasting, advising leadership, and ensuring market insights are effectively integrated into forecasts.