Top Remote Senior Level Data & Analytics Jobs in Tulsa, OK

The Strategist III, Value Analytics will own strategic workstreams, revamp dashboards for billing data, conduct analyses, and lead independent projects, improving Cedar's reporting suite.

The Revenue Analytics Manager will analyze customer success and partner analytics, delivering insights to drive retention and revenue growth, working cross functionally with leadership and data teams.

As a Principal Data Analyst, you'll leverage machine learning and AI to improve outcomes, manage large data sets, and guide analytics modelers for effective data solutions.

The AWS Data Engineer designs and maintains data solutions on AWS, implementing scalable pipelines, integrating systems, ensuring security, and optimizing workflows.

The Impact Tracking Senior Specialist will design and implement impact measurement systems, engage stakeholders, analyze data, produce reports, and build internal capacity to demonstrate the real-world impact of Sand's programs.

The HEDIS Business Analyst IV leads data analysis to improve healthcare quality and HEDIS processes, identifies trends and risks, and collaborates across departments to enhance operational performance.

The Senior Director Analyst will provide insights for CIOs in financial services, focusing on risk strategy, technology trends, and best practices.

The Director Analyst will oversee the procure to pay lifecycle, master data management, and procurement data analytics, ensuring integrity and optimizing operations.

The Principal Data Architect will design and implement complex cloud-based data solutions, oversee data standards, and guide technical teams while maintaining client roadmaps.

The Senior Data Architect will own architectural direction for large data platforms, ensuring scalability and security while leading modernization efforts and communicating with stakeholders.

The role involves building and optimizing data pipelines, modeling datasets, applying machine learning techniques, and supporting data strategies. Candidates should have experience with Python, data lakes, warehousing, and related technologies.

The Staff Data Engineer designs and builds data platforms and pipelines, ensuring data integrity and collaboration across teams for analytics and reporting.