Top Analysis Reporting Jobs in Raleigh, NC

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 role involves gathering and documenting business and technology requirements, creating BRD and FS, preparing UML diagrams, and supporting UAT testing, while functioning as the main point of contact for functional queries.

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 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 Senior Data Governance Architect will establish enterprise data governance practices, ensuring data products are trusted and can support analytics and AI-driven use cases, collaborating with key stakeholders to define governance standards.

The Senior Technology Support Consultant will analyze large datasets, develop reports and dashboards, and collaborate with teams to improve technology use and data integrity.

The Data Management and Support Specialist will execute literature searches, organize data, plan meetings, and assist project teams, focusing on health science and risk assessments.

The role involves supporting U.S. participation in international education data collections, validating statistics, conducting analyses, and coordinating with partners while managing multiple projects.

The Analyst, Program Control will manage financial analysis, program cost/schedule reporting, and ensure effective tracking of program performance and invoicing issues.

Deliver client-facing customer analytics and actionable insights to improve loyalty program KPIs. Build audiences, visualizations, test plans, and collaborate with BI/Engineering to design models and tools that drive targeted marketing and ROI.