Top Hybrid Data & Analytics Jobs in Raleigh-Durham, NC

The Senior Lead Analyst in Data Engineering is responsible for requirement gathering, building data enablement solutions, and overseeing ETL processes, while driving project delivery and mentoring team members.

The Senior Product Lead will design and implement data and analytics solutions, manage cross-functional partnerships, and develop scalable AI-enabled solutions for enterprise transformations.

Lead the architecture and design of data and analytics solutions, focusing on ETL, data warehousing, and cloud technologies while collaborating with global teams to optimize data processes.

As a Game Software Tester, you'll master AtomEngine, conduct various testing types, identify bugs, provide feedback, and create detailed test plans, all while collaborating with an agile team.

The Lead Data Specialist owns analytics and reporting for marketing services, develops dashboards, analyzes campaign performance, and identifies optimization opportunities, ensuring data accuracy and alignment with business goals.

As a Senior Associate in the Pricing team, you will design and integrate pricing applications, mentor junior associates, and ensure project quality while engaging with clients in complex revenue management scenarios.

Lead the design and implementation of enterprise-scale Knowledge Graphs and Semantic AI solutions, integrating graph intelligence and Generative AI. Manage cross-functional teams in data architecture and governance.

The Senior Director of Biostatistics will lead the biostatistics team, drive statistical strategies, and ensure high-quality contributions to advance drug development.

The Associate Quality Control Analyst monitors accuracy and consistency of sports data feeds, identifies discrepancies, and collaborates with technical teams to resolve issues.

Manage and enhance mastered data across different domains, ensuring data quality and governance while collaborating with technical and functional leaders.

This role involves conceptualizing and executing data-driven projects in pharmaceutical sectors, focusing on high-quality deliverables, data processes, and team collaboration.