Top Data & Analytics Jobs in Houston, TX

As a PhD intern, you will design and develop software solutions for automated trading systems, collaborating closely with the Quantitative Research team.

Leads pricing and analytics strategy, prioritizes analytical requests, translates ambiguous business questions into recommendations, and delivers executive insights. Owns business strategy, product and pricing analytics, credit risk modeling, marketing insights, and cross-functional execution. May manage analysts, oversee projects, develop business requirements, and partner with Sales, Finance, IT, Operations, and other teams to improve profitability and performance.

Collects, processes, vets, and analyzes geospatial and statistical data using Esri tools, Power BI, Python, or R. Supports research projects, client meetings, reports, presentations, dashboards, technical assistance, and proposal development. Works on focused project tasks under supervision while communicating findings clearly and maintaining project information and spending records. The role is hybrid in Houston and includes travel to client sites.

Leads development of secure, scalable data platforms for KYC and risk assessment. Designs and delivers enterprise data applications, frameworks, APIs, and processing systems; mentors engineers; drives AI-assisted development practices; and ensures secure, reliable, and compliant engineering workflows. The role uses cloud-native technologies, large-scale data processing, databases, observability, orchestration, modern data platforms, and emerging LLM infrastructure while communicating with senior leaders.

Leads data analysis and advanced analytics workstreams for clients, using statistical modeling, machine learning, data visualization, and Adobe Experience Cloud technologies to improve operations and strategic decision-making. Manages project planning, budgeting, execution, and completion while mentoring teams, maintaining data integrity and security, building Tableau and Power BI dashboards, identifying business opportunities, and integrating innovative analytics practices.

Design and deliver scalable data and analytics solutions supporting the end-to-end sales lifecycle. Integrate SAP, Salesforce, and other enterprise sources into cloud data lakes, modernize BI platforms, ensure data quality and governance, drive automation and process improvements, and provide technical leadership and mentorship to teams while partnering with business and IT stakeholders.

Manage configuration and engineering data within NASA’s JEDII/Windchill environment. Responsibilities include controlling and releasing drawings, maintaining baselines and revisions, reconciling part and serial data, investigating discrepancies, conducting audits, producing traceability reports, supporting EDCC operations, training users, and developing configuration and data management procedures. The role supports NASA engineering programs and requires strong knowledge of drawing control, PLM workflows, compliance, and technical documentation.

Manage and maintain wellsite and laboratory data in an Oracle database. Review, edit, proofread, scan, and upload records while organizing geological, well, production, and laboratory information. Communicate with geologists and laboratory staff, manage multiple assignments, and ensure accuracy in a fast-paced office environment.

Execute configuration and data management processes in NASA’s JEDII/Windchill environment. Control engineering drawings and facility records, support drawing control operations, reconcile part and serial data, maintain configuration status accounting, investigate documentation discrepancies, produce traceability reports, train users, and develop configuration management procedures and work instructions.

Designs and maintains enterprise data models, metadata, taxonomies, governance standards, quality rules, lineage documentation, and integration mappings for NASA’s external engagement platform. Supports CRM workflows, analytics-ready data, dashboards, AI data preparation, and cross-agency interoperability. The role also translates business needs into technical data solutions and coordinates documentation and stewardship across teams.

Leads enterprise data governance implementation across business and technical teams. Responsibilities include defining ownership and stewardship, developing standards and policies, facilitating governance councils, improving data quality and metadata practices, supporting platform and AI governance, enabling adoption, and reporting progress and risks. The role requires substantial experience implementing cross-functional governance programs, strong executive communication, and knowledge of data architecture, privacy, security, analytics governance, and responsible AI.