Top Senior Data & Analytics Jobs in Raleigh, NC

Lead the development and implementation of data architecture strategies, mentor a team to deliver solutions, and collaborate with stakeholders to enhance resources while ensuring project success and quality outcomes.

The Senior Data Engineer will build data products using Azure and Databricks, focusing on data modeling, ETL/ELT development, and AI integration.

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.

As Manager of Data Architects, you will lead a team, manage data architecture, migration strategies, and ensure data quality for implementations.

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 role involves developing decision support tools, analyzing healthcare data, and providing insights for strategic decision-making in Retail Health leadership. Responsibilities include managing analytics, reporting assets, and collaborating with cross-functional teams to drive solutions.

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.

This role involves defining the strategy for the analytics platform at Fidelity Investments, overseeing development, engineering, and ensuring operational excellence in analytics solutions.

The Business Intelligence Analyst will enhance data reporting and visualization abilities by collaborating with various teams to optimize business processes using SQL, Python, and Power BI.