Top Data & Analytics Jobs in Houston, TX

Maintain and audit product master data in the ERP and product information systems. Create and update product records, pricing, classifications, and vendor data. Collaborate with Purchasing, Sales, Operations, and IT to resolve discrepancies and support data quality and process improvements.

This role manages MDM/PIM strategies and architectures, ensuring data integration across enterprise systems, governance, and data quality. Responsibilities include overseeing implementation, leading cross-functional teams, and defining data governance frameworks.

Analyze, reconcile, troubleshoot, and monitor incoming and outgoing data to ensure accurate transfer, integration, translation, and reporting. Test and validate data quality, collaborate with senior team members, and liaise with external vendors to resolve issues and confirm data completeness. React to data quality metrics and client inquiries to maintain reliable outputs.

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.

Build and maintain ETL/ELT pipelines, SQL databases, and data models to support reporting and BI. Work with Azure data services, Python automation, Power BI, and data integration; monitor data quality, troubleshoot production issues, document solutions, and collaborate with business users on reporting requirements.

Design and implement scalable cloud-based ETL and analytics solutions using Incorta and Azure. Translate business requirements into architectures, lead data ingestion and integration across ERP and enterprise apps, optimize performance and security, support CI/CD and deployment, mentor teams, and conduct architecture reviews and governance.

Lead analytics and BI efforts to drive operational performance: build and maintain dashboards and ETL pipelines, analyze KPIs and drilling performance, support performance-improvement initiatives, collaborate with data scientists and BI/devops, and manage daily operational reporting and optimization tools.

Design and own end-to-end data domains and pipelines for plant sensors, lab results, and historians. Build schemas, ensure data quality, observability, and lineage, and supply model-ready time-series and analytical datasets to ML and operations teams. Mentor junior engineers and define data contracts.

The Director of Data Engineering will lead the strategy and delivery of a modern enterprise data platform, overseeing data engineering efforts and ensuring alignment with business needs. Responsibilities include defining data strategies, designing pipelines, managing teams, and enhancing data governance while modernizing the data environment.

The Division Order Analyst will review and audit division orders and title documents, calculate ownership interests, resolve discrepancies, and communicate findings to clients while maintaining detailed records.