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

The ITS Regulatory Application Analyst III manages regulatory projects, ensures regulatory compliance, collaborates with IT, and provides subject matter expertise on clinical quality workflows.

Manage a team of analysts to develop data-based solutions and tools in reporting and analytics to improve patient outcomes and drive business efficiency in healthcare.

The Director of Data Strategy and AI leads data and AI initiatives to enhance analytics programs, drives client strategy, and ensures effective AI product deployment. Responsibilities include managing cross-functional teams, supporting new business development, and overseeing technical infrastructure for analytics and internal tools while facilitating communication between technical and business stakeholders.

As Measurement Lead, you will manage high-stakes customer discussions about campaign results, write SQL for data analysis, build dashboards, and collaborate with various teams to enhance Kard's measurement approach.

As a Senior Analytics Engineer, you will develop and maintain Looker semantic layers, design BI models, and ensure data quality for business reporting.

The Sr. Sales Performance Analyst drives data-driven decision making through analytics and reporting, focusing on creating automated reports and dashboards, ensuring data integrity, and supporting sales management initiatives.

Identify, develop, and deploy automated cost-saving audits using complex SQL against claims data. Build and maintain financial and ad-hoc reports, run medical record review and administrative hold concepts, lead cross-functional discussions, train teammates on SQL, triage operational tasks (Salesforce, audit letters, reimbursements), and partner with data/engineering to resolve data issues affecting payment integrity.

The Principal Technical Consultant will lead the design and implementation of complex data solutions, mentor junior staff, and engage directly with clients, requiring a strong background in cloud and open-source technologies as well as project leadership skills.

Lead a data science team to develop insights from autonomous vehicle data, create scalable platforms for data access, and collaborate with cross-functional teams on performance measures.

Design and deploy scalable data infrastructure and models, maintain CDC pipelines, build reporting tools and dashboards, write high-performance SQL, partner with product and engineering to enable enterprise-wide analytics and data-driven decision making.