Top Data & Analytics Jobs in Houston, TX

Leverage data analytics, business intelligence, and Python to deliver strategic insights and tailored solutions for clients. Build reports, dashboards, data pipelines, and support data architecture and quality initiatives. Analyze data from multiple sources to identify trends, improve operations, and inform decision-making. Collaborate with stakeholders and team members while continuously developing technical skills and contributing to process improvements.

Analyze business challenges and opportunities within Global Payment Network. Develop strategic and tactical recommendations, model products and pricing, evaluate credit risk, conduct market and operational analyses, test hypotheses, assess solution feasibility, and support implementation. Collaborate with Product, Business Development, IT, Sales, Operations, Finance, and management to improve quality, volume, service, and profitability.

Develop and improve mathematical models and trading approaches. Conduct statistical analysis and back test trading strategies in a fast-paced environment.

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

Lead Solutions Analyst translates complex business requirements into functional solutions for KYC and risk assessment initiatives, performs data analysis and mapping, prepares interface documents, supports UAT onboarding, coordinates with stakeholders, identifies risks, and promotes AI-assisted, reusable analysis practices.

Designs, develops, and maintains enterprise Oracle databases and data processes. Responsibilities include database performance and capacity monitoring, SQL and PL/SQL optimization, schema development, replication, disaster recovery, security controls, performance testing, and migrating on-premises databases to cloud data platforms.

Build and maintain the Air Force Data Mesh Environment through scalable ETL and ELT pipelines, data models, orchestration workflows, APIs, and governed data applications. Develop secure, maintainable software using Python, TypeScript, React, Node.js, SQL, and modern data tools. Collaborate with product, DevOps, security, and mission stakeholders while applying testing, validation, observability, and secure data-handling practices.

Designs and maintains data architecture, canonical schemas, ETL/ELT pipelines, cloud data warehouse integrations, governance standards, data lineage, and documentation. Partners with engineering, product, business teams, and vendors to ensure reliable, trustworthy data. Designs data access patterns for AI and LLM applications, including retrieval-augmented generation and minimum-necessary-data principles.

Supports IT and Accounting analytics by building Power BI dashboards, maintaining reports, cleaning and validating ERP, ATS, and HRIS data, identifying trends and anomalies, and assisting with financial, cost, budget, reconciliation, and reporting automation tasks. Collaborates with IT, Accounting, and Recruiting to translate business needs into analytics deliverables. The intern will complete a capstone project and present findings to leadership.

Supports communication between IT, business units, and vendors while documenting requirements and administering reporting systems. Creates dynamic Excel reports and manages large datasets, configures systems and workflows, troubleshoots issues, coordinates projects, and leads application and user acceptance testing. The role also develops recommendations, maintains data confidentiality, and identifies technology improvements.