Top Remote Data & Analytics Jobs in Wilmington, NC

The Audit Analyst collects and analyzes pharmacy data, prepares reports, manages projects, and communicates complex financial concepts to clients. Requires strong analytical and communication skills, along with project management capabilities.

The role involves analyzing retail POS data, delivering insights to clients, and managing client relationships while utilizing AI tools for analysis.

The Senior Data Analyst is responsible for executing data strategy, analyzing data, documenting requirements, and collaborating with stakeholders to provide insights and validate data quality within the enterprise data platform.

As the Director of Analytics, you'll lead analytics for MyPrize, optimizing performance across teams, developing reporting tools, and informing data infrastructure.

The Principal Clinical Data Scientist leads clinical data management for complex studies, ensuring data quality, compliance, and timely delivery of milestones while collaborating across teams to address data-related issues and support analytics innovation.

As a Senior Data Engineer, you will manage data pipelines, ensure data quality, partner with teams for data-driven decisions, and improve the data platform while maintaining data integrity.

The Senior Data Engineer will create and manage data pipelines, ensuring data quality, collaborating with teams for data-driven decisions, and evolving the data platform.

The Senior Analyst will support payment integrity disputes, investigate solutions, collaborate cross-functionally, and improve processes in claims operations.

The Founding Platform/Infra Engineer will design and manage infrastructure, improve system observability and CI/CD processes, enhance security, and boost developer efficiency at Coverbase.

The Sr. FWA Analyst will identify medical billing errors and fraudulent patterns, support audit processes, and enhance anomaly detection algorithms through data analysis.

As a Staff Product Analytics Engineer, you will build and maintain data infrastructure, collaborate across teams to enhance product data use, and develop tools for data self-service.