Top Data & Analytics Jobs in Raleigh, NC

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.

Leads customer insights and measurement initiatives by translating Voice of Customer, behavioral, operational, and business data into actionable recommendations. Defines cross-channel success metrics, governs measurement standards and instrumentation, develops automated dashboards and AI-powered insights, and drives closed-loop feedback processes. Partners with product, technology, operations, and business teams to influence priorities, improve digital experiences, and measure business impact.

Leverage data analytics, business intelligence, and Python to deliver strategic insights and tailored solutions for clients. Build reports, dashboards, data pipelines, and support data architecture and quality initiatives. Analyze data from multiple sources to identify trends, improve operations, and inform decision-making. Collaborate with stakeholders and team members while continuously developing technical skills and contributing to process improvements.

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.

Uses SQL, Excel, Dataiku, Python, and related tools to analyze pharmacy network changes, assess client disruption, retain and win business, and produce standard and custom reports. Responsibilities include data cleaning, transformation, ETL, reporting process improvements, complex data interpretation, and managing multiple analytical priorities across business lines and clients.

The Product Analyst will manage the product experience, consult clients, collaborate with internal teams, and guide new features in biotech and pharma contexts.

Supports PMIS and BI implementations for infrastructure and capital programs. Gathers requirements, configures project controls workflows, develops dashboards and reports, manages data integrations and governance, documents procedures, trains users, and provides system support. The role translates business and project requirements into scalable technology and analytics solutions using PMIS platforms, SQL, ETL, data warehouses, Power BI, Tableau, and related tools.

Leads portfolio intelligence and analytics for Seeds R&D investment decisions. Develops portfolio frameworks, dashboards, reports, forecasting models, predictive analytics, and interactive tools using Python, R, and Shiny. Analyzes portfolio value, performance, scenarios, resource allocation, risks, and investment opportunities. Partners with Finance, Strategy, Digital, and R&D stakeholders to translate complex data into actionable recommendations while strengthening data governance, platform strategy, reporting automation, and stakeholder adoption.