Top Data & Analytics Jobs in Houston, TX

Perform forensic data analysis and fraud detection using SQL, Python/R, ML, big-data tools and visualization. Develop detection models/rules, evaluate anti-fraud tools, manage engagements, communicate findings to stakeholders, and lead project teams in investigations and compliance remediation.

Lead HR reporting and analytics using Oracle HCM and Power BI. Build recurring and ad hoc reports and dashboards, analyze workforce trends, drive data governance and quality, support HRIS enhancements and SDLC activities, and mentor HRIS team members to improve reporting capabilities and decision-making.

The Power Analyst conducts supply-demand analysis and market research for Eastern power markets, supporting trading decisions through data modeling and analytics.

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

Lead the architecture and strategic direction of an enterprise data platform covering ingestion, storage, processing, governance, and consumption. Define standards, design lakehouse/warehouse/streaming patterns, integrate governance/catalog tools, ensure security and cost optimization, mentor engineers, and produce architecture artifacts to support ML, BI, and product teams.

Design, build, and operate scalable batch and real-time data pipelines on Databricks/Azure, implement medallion architecture with Delta Lake, ensure data quality and governance via Unity Catalog, support CI/CD and production operations, and collaborate with stakeholders to deliver analytics-ready datasets for BI and ML use cases.

Analyze reverse logistics data (returns, RMAs, trade-ins) to identify root causes, improve recovery rates, reduce losses, and streamline workflows. Partner with supply chain, retail, finance, and IT to reconcile inventory and financial records, forecast return volumes, report executive-level insights, and recommend process or system improvements tied to device lifecycle and sustainability goals.

Manage and ensure quality, consistency, and integrity of technical and well-log data. Support and document data management processes, develop automated data-loading workflows and tools, archive/distribute/load/dispose technical data, and provide technical guidance as a senior Informatica administrator.

The Python Data Engineer will enhance data assets, drive requirements for data ingestion and access, and maintain code quality and tools in a dynamic office environment.

As a SAS Statistician, you will analyze Medicare claims data to drive insights for pharmaceutical companies, standardize processes, and train team members in SAS.