Top Data & Analytics Jobs in Houston, TX

Lead analytics and operations initiatives: design end-to-end data solutions, build Power BI dashboards, embed AI and automation via Copilot and Power Platform, administer SharePoint and Smartsheet, drive cross-functional processes, and deliver scalable KPIs and reporting.

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.

Collects and analyzes clinical outcomes data to support quality improvement and program evaluation. Develops statistical syntax, methods, and reports; tracks performance metrics; communicates findings; integrates measurement into clinical decision-making; completes SAMHSA reporting and supports routine outcome reporting frameworks.

Develop and enhance analytics and quantitative tools for commodities trading, focusing on data pipelines, statistical analysis, and machine learning applications.

The Data Architect/Data Modeler is responsible for data architecture, data quality management, data governance, and data integration, as well as leading tasks associated with data design and analytics.

Lead analytics and operational insights for Customer Operations: define core metrics, build dashboards and forecasts, model churn/renewal risk, enable self-serve reporting, implement AI-enabled automation, and partner cross-functionally to drive retention, expansion, and support efficiency.

The SAS Data Scientist role focuses on utilizing SAS software for data analytics. Candidates with 1 year of experience in SAS and coursework in analytics are preferred.

The Fundamentals Analyst will develop and manage international natural gas supply-demand models, analyze data for insights to support trading strategy, and collaborate with various teams for decision-making.

The Data Analyst will analyze complex datasets, lead data integration projects, evaluate power generation systems, and develop reports using SQL and visualization tools.

Assess customer on-prem geoscience databases and workflows, catalog data and customizations, produce migration assessments and reusable playbooks, prioritize product requirements, and coordinate across sales, success, and engineering to de-risk cloud migrations.