Top Analysis Reporting Jobs in Raleigh, NC

Undergraduate interns will support data and analytics projects involving data pipelines, machine learning, generative AI, dashboards, reporting, data governance, process improvement, production support, and analytics solution development. Interns will collaborate cross-functionally, document data assets, validate data, and present project outcomes. The hybrid program requires approximately 40 hours weekly for ten weeks in Cary, North Carolina.

Leads enterprise healthcare data engineering strategy, cloud data platform modernization, warehouse and lakehouse architecture, ETL/ELT pipelines, streaming, interoperability, governance, data quality, and master data management. Manages data engineering, analytics, and platform teams while supporting AI/ML initiatives. Requires extensive healthcare data experience, leadership of large programs, cloud and data engineering expertise, knowledge of claims and clinical systems, and familiarity with HL7, FHIR, EHR platforms, and healthcare compliance.

Lead development and execution of data-driven strategies, manage project planning and delivery, mentor and coach team members, ensure quality and ethical standards, design cloud data architectures and governance frameworks, analyze complex datasets to produce actionable insights, and drive continuous improvement using advanced analytics and modern data technologies.

The Senior Data Engineer will transform real-world data into analytics-ready datasets, build scalable pipelines, and conduct analyses to support scientific and business decisions, collaborating closely with data science teams.

Monitor and verify real-time college and professional sports data feeds, identify and resolve discrepancies, cross-check information across sources, troubleshoot issues with technical teams, track sports schedules and statistics, and provide feedback to data collection scouts to improve accuracy and performance.

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 Data Architect will define enterprise data architecture standards and design scalable, secure Azure-based data platforms. Responsibilities include data modeling, semantic layer design, governance, metadata and security architecture, AI-ready data foundations, platform modernization, vendor and business engagement, architecture documentation, and operational processes. The role also guides CI/CD, Infrastructure as Code, automation, prototyping, and engineering best practices while influencing enterprise-wide transformation initiatives.

Leads advanced data analytics and customer insights initiatives, transforming structured and unstructured data into strategic recommendations. Develops statistical analyses, reporting capabilities, dashboards, and data-driven solutions to support organizational prioritization and improve customer experiences. Collaborates with analytics, engineering, data science, marketing, and product teams while applying tools such as SQL, Python, R, Tableau, Power BI, Snowflake, and Athena.

Manage quantitative analytics consulting projects, including hypothesis development, data collection, modeling, analysis, research, and insight generation. Oversee analysts, collaborate with clients and partners, deliver high-quality project outcomes, manage demanding workloads, and coach team members. The role requires strong quantitative, communication, documentation, and presentation skills, proficiency with analytics software, and regular travel.

Supports the Business Intelligence team by gathering requirements, analyzing data, building and migrating dashboards, developing reporting solutions, customizing datasets, and documenting processes. The intern collaborates with stakeholders and technical teams to improve decision-making, reporting workflows, and business performance. The role requires strong Excel skills, analytical ability, communication, problem-solving, and interest in business intelligence, data visualization, and AI-enabled tools.