Top Data & Analytics Jobs in Houston, TX

Maintain data integrity and quality through advanced testing and validation of ETL pipelines. Analyze complex data issues, build solutions, mentor junior staff, engage with clients, and support continuous improvement across data management, governance, and pipeline orchestration.

Senior Data Engineer on PwC's Managed Data, Analytics & Insights team to design, build and manage advanced data ecosystems. Responsibilities include designing data solutions and scalable pipelines, solving complex problems, mentoring junior staff, maintaining high delivery standards, and building client relationships while aligning solutions to business context.

The role involves leading data analytics to drive strategy, conduct risk assessments, and improve data systems within the data strategy team.

The Payor Contracting Analytics Director leads financial, analytical, and operational components of payer contracting, overseeing reimbursement modeling and identifying growth opportunities.

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.

Join Chevron as an intern in Information Technology – Information and Analytics. Interns will apply data science and analytics to support sustainable energy initiatives. Responsibilities include data analysis, modeling, and contributing to data-driven decision-making processes across multiple areas.

The Supply Chain Analytics Manager gathers and analyzes data to drive insights, creates dashboards, and establishes data practices for informed decision-making.

Lead RPA (Risk, Performance, and Attribution) data domain, ensuring data integrity, managing product roadmaps, applying data modeling techniques, and driving data governance.

Lead advanced analytics for work management systems, build dashboards and models, perform root-cause and data quality analysis, translate business requirements into scalable solutions, collaborate with IT and stakeholders, mentor analysts, and contribute to data governance and analytics modernization.

Lead design and implementation of an enterprise-scale self-healing data fabric: replace rigid ETL with active metadata pipelines, ontology-first models, semantic reasoning (RDF/OWL/SHACL/SPARQL), policy-as-code (OPA), and real-time data quality orchestration using Caelum/Amundsen and DataHub Actions.

As a SAS Statistician, you will analyze Medicare claims data to drive insights for pharmaceutical companies, standardize processes, and train team members in SAS.