Top Analysis Reporting Jobs in Raleigh, NC

The Analyst will support payer data management by analyzing data, maintaining reports, coordinating with field teams, and ensuring accurate data hygiene for sales campaigns.

The Data Analyst role involves using Microsoft Office applications for reporting, collaborating on tasks with global teams, and ensuring attention to detail.

The Senior Manager of Data Science will lead a team to develop AI systems utilizing LLMs and RAG architectures for legal applications, oversee technical execution, and drive strategy in AI-driven legal technology, while mentoring team members and collaborating with cross-functional teams.

The Services Specialist will implement enterprise services, develop metrics, conduct process analysis, provide training, and manage SOA service assets.

The Business Analyst will implement ServiceNow to automate business processes for change and problem management, document requirements, and manage analysis tasks.

The Executive Director will drive the enterprise data and insights strategy, manage analytics delivery, and partner with leadership for actionable insights while leading a diverse team in a healthcare setting. Responsibilities include managing vendor relations, executing data initiatives, and ensuring compliance with regulations.

Looking for a Techno-Functional Consultant with at least 8 years of MDM experience and 3 years in MDG, with hands-on experience in implementations.

The Senior Data Engineer will design, build, and maintain data pipelines and solutions on cloud platforms, particularly Azure, while ensuring data quality and governance. They will collaborate with cross-functional teams, optimize data processing workflows, and enhance business intelligence capabilities.

The Principal Statistician leads statistical analysis for clinical trials, develops protocols, ensures regulatory compliance, and trains staff. Responsibilities include communication with teams and stakeholders, statistical deliverable reviews, and auditing preparation.

The Data Engineer will design and implement ETL/ELT data pipelines, optimize performance, ensure data quality, and collaborate on data integration for analytics.