Top Analysis Reporting Jobs in Houston, TX

The role involves leading data analytics to drive strategy, conduct risk assessments, and improve data systems within the data strategy team.

Lead initiatives in data architecture and analytics, utilizing Qlikview and Tableau to optimize decision-making and drive insights. Mentor team members while adhering to data governance standards.

The Payor Contracting Analytics Director leads financial, analytical, and operational components of payer contracting, overseeing reimbursement modeling and identifying growth opportunities.

The Director, Research - Power Markets is responsible for leading the QA/QC process for long-term forecasting, advising leadership, and ensuring market insights are effectively integrated into forecasts.

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 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.

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.

Seeking a SAS Data Scientist with at least 1 year of SAS experience and some background in data analytics. Full-time position in Houston.

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