Top Data & Analytics Jobs in Wilmington, NC

The Business Insights & Planning Analyst III coordinates mergers and acquisition efforts, business planning, and work product development, while managing due diligence and supporting various teams in the business development process.

The Sr. Data Engineer will design and maintain databases, develop ETL pipelines, and ensure data integrity for Hologram's IoT network, enabling insights and decision-making.

This role involves leading workforce analytics initiatives, delivering insights on headcount, compensation, and workforce planning, while utilizing AI tools and visual analytics platforms to support decision-making processes across various HR functions.

The Analyst I will contribute to healthcare data projects, supporting research design, conducting statistical analyses, and presenting findings to stakeholders.

The Advanced Analytics Manager will lead analytics initiatives, transforming complex datasets into insights, collaborating across departments to inform GTM strategy and revenue planning.

The Data QA Engineer designs and executes test plans for data pipelines and transformations, collaborates with teams to ensure data quality, and utilizes AI techniques for testing automation. They validate business metrics and facilitate cross-team communication.

The Business Analyst will gather and analyze business reporting requirements, translating them into actionable insights, and support dashboard development for better data visibility in a fully remote capacity.

The Software Engineer will develop and enhance Research platforms, leverage data science, and work with cross-functional teams to create scalable, maintainable systems for data products at Netflix.

As Manager of Business Intelligence, you'll lead a team to shape performance metrics, develop analytical tools, engage with stakeholders, and drive BI practices across the Operations organization.

The position involves leading database operations and managing data integration for business intelligence, focusing on PostgreSQL and ETL/ELT pipelines.