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

The Systems Analyst III leads research and analysis on systems requirements, interfaces, and dependencies while collaborating with teams to automate reporting and dashboards.

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 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.

The Senior Data Analyst will develop SQL pipelines to automate workflows, create dashboards, analyze financial data, and support leadership with insights.

The Manager of Business Analysis & Forecasting will develop data-backed revenue models, perform advanced analytics, and collaborate with finance leaders to drive strategic insights and business growth.

Seeking a leader for the MLIR team at Netflix to drive machine learning innovations, collaborate with various teams, and enhance organizational capabilities.

Lead and inspire a team of Machine Learning Scientists and Data Scientists at Netflix, focusing on the ads business and media planning. Enhance partnerships, drive success through collaborative projects, and ensure high-quality outputs that align with business goals.

Lead a data science team to enhance Netflix's streaming product through analytics and experimentation, partnering with engineering.