Top Data & Analytics Jobs in Houston, TX

Lead a data engineering team to design, build, and operate secure, scalable data collection, storage, processing, and analytics platforms. Develop production-quality Python code, SQL transformations, orchestration (Airflow), and streaming pipelines (Kafka/PubSub). Champion AI-assisted engineering practices, automate remediation, evaluate vendor solutions, and produce reporting in JIRA/Confluence to improve delivery, resiliency, and security.

Drive strategic and tactical analysis across Global Payment Network: identify growth opportunities, build models for product/pricing and credit risk, support marketing and go-to-market strategies, partner with cross-functional teams, lead solution development and implementation, and communicate insights to influence decisions.

As a Quantitative Research Engineer, design, develop, and implement software for automated trading systems using advanced statistical techniques. Collaborate with researchers and prioritize business needs.

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.

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.

Lead analytics workstreams to extract insights from large datasets, build dashboards and predictive models, manage project planning and delivery, mentor teams, and collaborate with stakeholders to implement data-driven solutions and maintain data integrity.

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

Architect and build scalable ETL/ELT pipelines, optimize Snowflake schemas, integrate REST APIs and streaming/event sources, maintain orchestration (Airflow/Prefect/Dagster), implement data quality/lineage, and apply DataOps/DevOps practices (CI/CD, Docker, Git) with well-tested Python code.

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.

Develop and deliver Power BI dashboards and automated BI solutions, ensure data quality and integrity, build interactive/reporting features, collaborate with stakeholders to automate processes using SQL, Excel, SharePoint, Visio and Smartsheet, and coordinate across databases to support financial modeling and reporting.