Top Data & Analytics Jobs in Raleigh, NC

The CXO Program Analyst will enhance collaboration between the CXO strategy team, marketing, and sales organizations by designing efficient workflows, monitoring key performance indicators for the CXO program, and ensuring strategic alignment with key accounts. The role requires strong analytical skills to provide actionable insights and improve engagement strategies.

The Senior Data Scientist will develop machine learning models to enhance products and solutions at DICK’S Sporting Goods, conducting data-driven analyses, and providing actionable insights. Responsibilities include advanced analytics, data collection, and improving data strategies to boost business performance.

The Growth Strategy & Analytics Analyst will oversee financial modeling and valuation initiatives for Privia Medical Group clients. Responsibilities include preparing ROI models, collaborating on data collection, performing financial analyses, and fostering cross-functional relationships to drive business growth.

The Data Engineer II will design, develop, and support data integration and ETL projects, mentor other data engineers, and ensure the quality of BI data. Responsibilities include data profiling, logical/physical modeling, performance tuning, and collaborating with offshore teams on development tasks.

The Lead Data Engineer will create and maintain data pipelines, handle complex data transformations, and collaborate with development teams. Responsibilities include optimizing queries, automating processes, and improving data systems. The role requires troubleshooting and incident resolution while providing leadership to the team.

The Web Analyst will lead data-driven decisions for brand websites by monitoring KPIs, analyzing conversion funnels, generating reports, and collaborating with media teams to assess campaign impacts. The role includes ensuring accurate data tracking and presenting actionable insights to senior leadership.

The Principal Analytics Engineer at Americor will bridge data engineering, data science, and business intelligence, driving analytics innovations. Responsibilities include building and deploying automated machine learning models, conducting audits for best practices, and delivering impactful analytics solutions through advanced reporting and statistical experimentation.