Top Senior Data & Analytics Jobs in Houston, TX

The Business Intelligence Analyst will lead data analysis efforts, create actionable insights, drive business processes optimization, and enhance data literacy within cross-functional teams in the organization.

This role manages MDM/PIM strategies and architectures, ensuring data integration across enterprise systems, governance, and data quality. Responsibilities include overseeing implementation, leading cross-functional teams, and defining data governance frameworks.

Analyze, reconcile, troubleshoot, and monitor incoming and outgoing data to ensure accurate transfer, integration, translation, and reporting. Test and validate data quality, collaborate with senior team members, and liaise with external vendors to resolve issues and confirm data completeness. React to data quality metrics and client inquiries to maintain reliable outputs.

Designs and implements analytical and systems solutions to support CLO operations. Works with stakeholders to automate processes, analyze data, build database-driven reporting, and deliver solutions using SQL, VBA/VBS, and Python. Manages multiple priorities and drives projects from concept through implementation with minimal oversight.

The Supply Chain Analytics Manager gathers and analyzes data to drive insights, creates dashboards, and establishes data practices for informed decision-making.

Lead RPA (Risk, Performance, and Attribution) data domain, ensuring data integrity, managing product roadmaps, applying data modeling techniques, and driving data governance.

Design and implement scalable cloud-based ETL and analytics solutions using Incorta and Azure. Translate business requirements into architectures, lead data ingestion and integration across ERP and enterprise apps, optimize performance and security, support CI/CD and deployment, mentor teams, and conduct architecture reviews and governance.

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 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.