Top Data & Analytics Jobs in Raleigh, NC

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

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

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.

Define and lead the technical architecture for a lakehouse on AWS, build production pipelines and data models for time-series and multi-source data, introduce data governance and catalog foundations, author platform playbooks (ADRs, runbooks, Terraform modules), deliver projects end-to-end, and mentor engineers while representing the platform to senior leadership and non-technical stakeholders.

Serve as a senior technical lead for data engineering consulting: work with customers, design complex data models, write and review efficient code, resolve complex bugs, mentor engineers, lead cross-functional development, and plan/execute automated and performance tests to deliver high-quality data solutions.

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.

Designs and develops cloud-native ETL/ELT solutions and data warehouses using Informatica, Python, Oracle/PLSQL and scheduling tools. Architects data pipelines, optimizes SQL performance, automates jobs, supports testing and implementation, and documents applications across multiple projects.

The Country & Site Feasibility Lead oversees global feasibility projects, conducts data analysis, and develops project strategies, while ensuring client satisfaction through effective communication and guidance.

Lead a small analytics team to design and execute complex analyses on claims, encounter, provider, and membership data to drive risk adjustment performance. Build scalable reporting and dashboards, ensure data governance and compliance with CMS/Medicaid, translate findings into actionable strategies, and partner with finance, actuary, and analytics teams.