Top Senior Level Data & Analytics Jobs in Dallas, TX

The Lead Data Analyst will manage a small team while collaborating with Product and Engineering teams to create scalable reporting, analyze A/B tests, and develop revenue dashboards. Responsibilities include providing insights to drive revenue for a network of creators and handling multiple projects with attention to detail.

The Lead Data Engineer will analyze complex datasets to derive insights, design statistical models, implement data solutions, and mentor team members. They will use data science and engineering skills to build predictive models and recommend technological advancements to enhance business productivity.

The Senior Manager, Commercial Analytics will analyze products, markets, and competition while collaborating with cross-functional teams. Responsibilities include designing key analyses, sourcing data, and managing projects to ensure insightful recommendations for brand and sales strategy.

The Lead Data Engineer will transform complex data into insights for business decisions, collaborate with cross-functional teams, design statistical models, and implement enterprise data solutions. Key responsibilities include data analysis, building predictive models, recommending technologies, and mentoring software engineers.

The Manager of Marketing Data Science will utilize predictive modeling and advanced analytics to optimize customer marketing strategies, enhance data-driven decision-making, and support direct-to-consumer products at Dow Jones. Responsibilities include building predictive models, media spend forecasting, and collaborating with cross-functional teams to derive actionable insights that improve marketing effectiveness.

The Senior Data Engineer at EquipmentShare will design, build, and maintain the data platform, enabling automation and self-service for analytics and machine learning. Responsibilities include developing CI/CD pipelines, data monitoring, and collaborating with cross-functional teams to take projects from concept to production.

The Senior Data Scientist will design, develop, and support scalable machine learning solutions primarily using Azure tools. Responsibilities include collaborating with client executives, assisting the business development team with technical support, and elevating team talent through coaching. The role requires significant experience in machine learning, Azure technologies, and effective communication skills.