Top Remote Data & Analytics Jobs in Wilmington, NC

The Staff Data Engineer will design and maintain data systems, streamline workflow for Data Analytics and Machine Learning teams, and ensure data pipelines are efficient and reliable. Responsibilities also include driving large projects, collaborating across teams, mentoring, and supporting the company's strategy.

The Senior Staff Data Engineer at SmithRx will define technical vision, improve data engineering efficiencies, and enhance data governance while mentoring other engineers and leading cross-functional collaborations.

The Clinical Data Scientist II performs advanced data analysis, collaborates on analytical solutions, develops dashboards, and communicates insights to stakeholders.

Lead statistical activities in global clinical trials, performing analysis, developing protocols, and training team members while ensuring compliance with regulations.

The Business Systems Analyst II coordinates between business and tech stakeholders, creating user stories and specifications, ensuring Agile compliance, and fostering collaboration to enhance processes and products.

Interns will work with core engineering teams to build and maintain data systems, participate in cross-functional teams, and collaborate on project goals under mentorship.

Lead analytics for Nutrafol.com and the Nutrafol App, driving insights for roadmap prioritization, conversion optimization, and overseeing CRO analytics. Manage a Senior Associate Analyst and collaborate on digital experiences that enhance growth.

The Predictive Analytics Engineer will manage Python and R tools, develop cloud operations, and automate analytics services using AI and ML while ensuring compliance and security.

The Actuarial Analyst will analyze and prepare insurance product filings, ensure compliance with regulations, and improve filing processes with a focus on hazard and catastrophe products.

This role manages the BI platform's day-to-day operations, develops analytics solutions, enhances capabilities, and partners with teams to fulfill reporting needs. Responsibilities include monitoring system performance, data governance, and ensuring data quality while delivering actionable insights to support business growth.

The Data Analytics Engineer will develop data infrastructure and collaborate with data scientists to create business solutions, support predictive modeling, and mentor team members.