Top Entry Level Data & Analytics Jobs in Houston, TX

Build, modify, troubleshoot, and optimize SSRS reports using client data sources. Develop Power BI dashboards, datasets, and data models with DAX and Power Query. Gather reporting requirements directly from business stakeholders and deliver accurate, performant reporting solutions. This is a three-to-six-month onsite contract in Houston, Texas.

Process and analyze seismic data to produce accurate 3D subsurface images. Test and optimize imaging workflows, perform quality control, collaborate with scientists and developers, contribute to publications, and support client projects with technical seismic insights.

Collect and verify metals recycling pricing data, set price assessments per company methodology and IOSCO, write market commentary and news, expand industry contacts, peer-review prices, provide coverage for colleagues, engage the market and present at events/webinars.

The role involves reviewing and analyzing user requirements, documenting processes, performing user acceptance testing, and creating Functional Design Documents for system enhancements.

Assist with data entry processes for vendor and customer invoices, focusing on accuracy and customer service skills. This is an entry-level position with potential for advancement.

Provide 24/7 completions data support: enter and QAQC frac and wireline data, build and maintain dashboards, communicate with customers, test staging systems, produce daily reports, identify anomalies, and improve operational procedures.

Designs, develops, and maintains BI reports, dashboards, and visualizations (primarily Tableau) using SQL and relational databases. Partners with stakeholders to gather requirements, build data models, validate data accuracy, and deliver KPIs. Supports integrations, troubleshooting, and evaluation of AI-enabled analytics and automation solutions.

Entry-level role supporting optimization and operation of utility-scale battery energy storage systems. Analyze energy market and system data, apply risk-management principles, develop data science skills through hands-on projects, and contribute to clean-energy project execution and performance optimization.