Top Data & Analytics Jobs in Houston, TX

Lead design and delivery of enterprise Product Information Management solutions. Manage product data lifecycle, drive data quality and integration, mentor team members, lead client engagements, and improve processes to meet business objectives.

Lead architecture and delivery of end-to-end MDM solutions, including integration patterns, taxonomies, and data stewardship. Manage teams and client accounts, ensure data governance, quality, and model harmonization, mentor staff, and uphold PwC standards.

Lead Managed Data & Analytics engagements to build modern data ecosystems, convert insights into strategic opportunities, and manage client accounts. Oversee project planning, budgeting, execution, and delivery while mentoring teams, enforcing quality standards, and identifying growth opportunities.

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

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

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.

The Senior Analyst in AML KYC will conduct detailed customer onboarding, monitor client relationships for compliance, and update KYC records while utilizing AI tools for efficiency.

Lead data management strategy and risk frameworks for the Global Payment Network. Define and monitor KRIs, oversee data controls, data quality monitoring, metadata health, and data issue management. Manage and develop a team of data professionals.

Design and maintain interactive dashboards (Power BI/Tableau), develop SQL queries, analyze performance across systems versus contractual benchmarks, produce reports, support QA/compliance, and train staff to use data visualizations to drive continuous improvement.

Serve as intermediary between teams and business lines to elicit requirements, develop business cases, support solution design, testing, implementation, and post-implementation follow-up. Perform basic-to-intermediate analysis, ensure compliance, recommend process improvements, and support change management.

Design and build scalable data lakes, warehouses, and lakehouse architectures. Implement Python ETL/ELT pipelines, orchestrate workflows with Airflow, ingest from third-party APIs, optimize columnar storage formats, and support ML initiatives using Spark, Snowflake, and cloud platforms. Serve as a technical consultant translating business needs into data architecture roadmaps.

Support requirements gathering, data analysis, and process improvement. Work with cross-functional teams in Agile ceremonies, produce reports, presentations, workflow diagrams, and user stories to support decision-making and continuous improvement.