Top Data & Analytics Jobs in Houston, TX

The Senior Data Engineer designs and maintains data pipelines and architectures to support enterprise analytics, ensuring data quality and integration across systems.

Work on data visualization and data management within the Data Analytics & Insights team. Build interactive displays and tools using JavaScript and Python, translate complex data into clear visuals, ensure data accuracy, support data storage solutions and processes, perform quality checks, and collaborate with cross-functional teams and environmental scientists.

Monitor, structure, and analyze cargo- and pipeline-level LNG and North American gas data daily; track market news and trade flows; maintain and expand datasets; respond to ad hoc requests; support commercial teams and client meetings; collaborate across global offices; and contribute to long-term projects improving data and product features.

Support the development team by conducting market research, evaluating new markets, and analyzing competitive dynamics in renewable energy.

The e-Data Services Analyst provides technical support for eDiscovery, manages data acquisition, processes electronic materials, and assists legal teams using various industry tools and protocols.

The Risk Analyst will evaluate IT activities, conduct feasibility studies, oversee system implementations, support market risk management, and collaborate with various stakeholders to enhance business processes.

As a Data Engineer, you'll deliver scalable data solutions, participate in technical discussions, and ensure timely, trustworthy data delivery through robust pipelines.

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.