Top Analysis Reporting Jobs in Raleigh, NC

The Business Analyst will support operational improvements through data analysis and reporting, focusing on metrics like cost-to-serve and revenue expansion, while collaborating across teams.

The Technology Portfolio Reporting & Analytics Lead manages reporting and analytics for technology investments, provides insights for executive decisions, evaluates investment performance, and maintains data quality.

The Impact Analyst will leverage data standards and conduct advanced analyses to drive strategic decisions and monitor data compliance while providing actionable insights to influence organizational changes.

Design and implement large-scale Snowflake-based data platforms, migrate on-prem databases to AWS/Snowflake, build ETL/ELT pipelines and data lakes, create dimensional models, maintain CI/CD and scheduling (Control-M), provide technical leadership and modernization guidance, and develop performant data solutions across multiple database platforms.

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

The Senior Business Analyst will analyze business processes, develop requirements, create documentation, and communicate effectively with IT and business users.

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.