Top Data & Analytics Jobs in Wilmington, NC

The Technical SEO Strategist will design and implement scalable technical SEO solutions, optimize site performance, and establish analytics frameworks to enhance search visibility and data integrity across client environments.

The Data Analyst will analyze telemetry and operational data in critical infrastructure environments, providing insights for incident management and operational performance improvement.

As an Energy Analyst, you will manage demand response programs in NYISO and PJM, monitor compliance, track client performance, and prepare market intelligence. This role requires strong analytical skills and interaction with various teams.

The Senior Data Analyst will lead complex data analysis projects, mentor junior analysts, develop dashboards, and provide insights to drive strategic decisions. Responsibilities include troubleshooting data issues and communicating findings effectively.

The Senior Analyst in People Analytics will design and manage dashboards, analyze HR datasets, and leverage AI tools for data-driven insights, while collaborating with various teams to enhance people strategies.

Lead mechanistic modeling (PBPK/QSP) to support IND-enabling decisions and FIH dose selection; integrate preclinical, biomarker, and early clinical data; oversee population PK/PKPD and exposure-response analyses; contribute to regulatory submissions; mentor staff and build internal pharmacometrics capabilities while partnering cross-functionally.

The role involves leading global market analytics, conducting research on data center markets, developing metrics, and supporting market expansion strategies.

The Head of Data will lead the data team, execute complex data projects, establish best practices, and define a strategic vision for data capabilities.

Entefy seeks a Senior Data Scientist with a Master's or PhD in a relevant field, and 3+ years of experience. Responsibilities include delivering advanced analytics, leading teams, and extracting insights from datasets.

The role involves providing high-quality input and data labeling for AI model training in quantitative finance, collaborating with technical teams, and ensuring innovation in algorithmic investment strategies.