Top Remote Data & Analytics Jobs in Wilmington, NC

Analyze large-scale data to detect fraud, derive insights, develop monitoring solutions, and collaborate on fraud prevention strategies cross-functionally.

The role involves reviewing and correcting emergency call transcripts in Spanish and proofreading English translations, requiring attention to detail and quality focus.

Lead and expand Data Acquisition teams, building and maintaining data pipelines and services for healthcare while collaborating with product management and engineering teams.

Manage web analytics strategy and implementation at Twilio, ensuring data integrity and delivering actionable insights through collaboration with cross-functional teams.

As a Senior Data Scientist, you will develop statistical models and machine learning algorithms to improve patient enrollment and trial management while ensuring compliance in a healthcare data environment.

The Revenue Operations Analyst will analyze data, build dashboards, and support decision-making in Sales and Marketing, focusing on optimizing growth strategies.

Lead and manage data engineering teams to design, build, and maintain high-quality data pipelines. Oversee automation, performance scripting, data modeling, database optimization, and quality-control processes. Collaborate with product, engineering, and operations to deliver data-driven features and support SEC-related data needs and AI/LLM integrations.

The Manager of Clinical Analytics leads data analytics initiatives for healthcare, focusing on improving clinical outcomes and performance metrics. Responsibilities include guiding teams, developing analytics capabilities, ensuring accurate reporting, and fostering collaboration between technical and non-technical stakeholders.

The Data Architect will lead database management, conduct data analysis, and work with stakeholders to align data requirements with business objectives.

The Director of Data & Analytics will lead the analytics function, align data strategy with growth objectives, ensure data quality, and develop talent in the data team.