Top Remote Data & Analytics Jobs in Oklahoma City, OK

The Sr. FWA Analyst identifies fraud, waste, and abuse in medical billing through data analysis, supporting engineering and data science teams with validation and tuning of detection algorithms.

As a Staff Data Scientist, you will lead product strategy by building predictive models, optimizing matching algorithms, and guiding product innovations in a consumer tech environment.

The Sr. Data Analyst (Operations) will translate business problems into measurable analytics, lead projects, manage stakeholders, and develop dashboards using SQL and Tableau to improve operations.

The Principal, Volume Forecasting will lead the end-to-end forecasting process, utilizing data-driven models and AI tools to influence strategic decisions, manage stakeholder input, and analyze market impacts on demand.

The Supervisor of Analytics Reporting position involves monitoring model performance, developing reports, providing mentorship, and utilizing analytical tools to drive business decisions. Responsibilities include data extraction, reporting on KPIs, and leading the analytics team to achieve business objectives.

The VP of Reporting & Analytics leads the analytics function, developing strategies and insights for stakeholders, enhancing data literacy, and managing analytics teams while driving AI-enabled capabilities and BI infrastructure advancements.

As a Workday Integration Consultant at Deel, you'll implement certified integrations for clients, support payroll data, troubleshoot issues, and ensure compliance while maintaining documentation.

The RevOps BI Architect designs and maintains BI platforms, creates dashboards, optimizes reporting performance, and ensures data clarity for revenue operations teams.

As a BI Developer, you will design and maintain Power BI dashboards, develop SQL queries, and collaborate with stakeholders to create actionable insights, ensuring data integrity and automating reporting processes.

As a Senior Data Engineer, you will own GCP-based analytics infrastructure, design scalable data pipelines, and collaborate with engineering teams on data solutions.