Top Analysis Reporting Jobs in Houston, TX

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.

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 role involves data architecture, data analysis, governance, and quality management within SAP systems, requiring advanced technical and leadership skills.

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.

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.

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

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.

Design, build, and maintain data warehousing, ETL pipelines, and BI reporting solutions. Create reports and dashboards (Power BI, SSRS, etc.), ensure data accuracy, collaborate with finance and IT stakeholders, support cloud data warehouse migrations (Azure), and deliver end-to-end BI solutions and analytics for business decision-making.

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.