Top Data & Analytics Jobs in Tulsa, OK

Manage a team of data scientists to develop fraud detection models, lead planning and collaboration with leadership, and communicate outcomes effectively while maintaining strong business intuition and technical leadership.

Lead statistical programming for clinical trials, ensuring compliance with CDISC standards, managing teams, and developing programming components. Collaborate with cross-functional teams on various programming deliverables and mentor staff.

The Lead Data Platform Engineer will design and build Virtuous's data platform, ensuring it is secure, scalable, and AI-ready. Responsibilities include architecting access controls, optimizing performance, and enabling self-service analytics while maintaining governance and compliance standards.

As a Senior Business Systems Analyst, you'll manage SaaS portfolios, identify AI automation opportunities, gather requirements for engineering, and provide insights into cross-functional initiatives.

The Capital Analytics Lead will analyze capital, margin, liquidity, and counterparty risk, support regulatory engagement, and produce insights for senior leadership.

As a Senior Yield Manager, you'll optimize digital advertising revenue through effective pricing and inventory strategies, utilizing AI insights for improved forecasting and performance.

The role involves leading the enterprise strategy for data analytics and technology modernization, driving data-driven decision making, and managing digital transformation initiatives while building a high-performing team.

The Staff Data Engineer will lead financial data operations, ensuring accuracy and reliability of data pipelines, while collaborating with Finance, Product, and Engineering teams to enhance systems and decision-making processes.

The Staff Performance Data Analyst utilizes SQL and Python for data manipulation and ROI modeling, presents insights to stakeholders, and ensures data integrity while maintaining client relationships.

The Data Visualization & Automation Producer oversees data pipeline visual integrity, managing automated workflows, ensuring data accuracy, and training reporters on visualization tools.