Top Senior Data & Analytics Jobs in Raleigh, NC

The Senior Data Center Administrator oversees operations, including inventory management, vendor coordination, capacity planning, and safety compliance in the data center.

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 Lead Data Specialist owns analytics and reporting for marketing services, delivering insights, developing dashboards, and ensuring data accuracy while collaborating with stakeholders.

Transform Electronic Health Records (EHR) data into structured assets, build scalable data pipelines, and apply Generative AI techniques for analytics within a healthcare-focused team.

Manage client engagements focusing on pricing strategies and market access optimization for pharmaceutical assets, while mentoring teams and ensuring quality deliverables.

Lead development of datasets and conduct longitudinal analyses for observational studies, focusing on virology using real-world data sources.

The Principal Statistical Programmer leads the development and maintenance of statistical programming capabilities, ensuring data quality and compliance with regulatory standards for clinical trials using SAS software.

The Associate Principal will lead eCOA analytical insights, ensure compliance monitoring, conduct quantitative analysis, and improve delivery processes in clinical studies.

The SAP Business Analyst will gather requirements, define RTR needs, lead workshops, and support SAP S/4HANA implementation with a focus on the CO module.

Lead and deliver data-driven commercial analytics projects for life sciences clients, design/implement data platform and ETL solutions, analyze data and present insights, manage client relationships and project teams, mentor junior staff, and contribute to business development and internal data warehouse initiatives.

Lead design and delivery of enterprise people analytics solutions, partner with HR and data teams to produce dashboards, predictive analytics, and executive insights that drive workforce planning, talent decisions, data governance, and organizational health across a global matrixed organization.

Design and implement data engineering solutions, maintain pipelines, collaborate on requirements, ensure data governance, and optimize processes in an agile environment.