Analytics Engineer; Hybrid, Morrisville, NC

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• Posted on October 14, 2026

Showing 1 location

Home Office
Morrisville, NC 27560, USA

• Hybrid
• Information & Data Management
• Full-Time
• Requisition #: ANALY
  003599

The Analytics Engineer serves as a critical technical bridge between Data Engineering and Data Analytics, applying rigorous data engineering principles to the analytics development lifecycle. This role is responsible for creating, scaling, and managing high-value data assets (including metrics stores, data marts, and semantic layers) to ensure consistent and reliable data consumption across the organization. By implementing best practices such as code versioning, CI/CD, and automated orchestration, the Analytics Engineer brings software engineering discipline to the analytics space to drive scalable and modernized data initiatives.

Working closely within business domains, the Analytics Engineer translates complex business metrics and KPIs into actionable analytical artifacts, empowering the organization to achieve greater success through a mature, data-driven culture.

This position is full-time hybrid. Selected candidate must come into the Home office in Morrisville on Wednesdays, for business meeting as needed, reside within 50 miles of Morrisville North Carolina.

Responsibilities & Duties

• Design, build, and manage scalable analytics pipelines to handle the transition from raw data to analytics-ready assets
• Develop and maintain complex Directed Acyclic Graphs (DAGs) to ensure logical execution and dependency management of data workflows
• Perform advanced extract, load and transform processes specifically tailored for the analytics domain, focusing on data cleansing, preparation, and transformation

Semantic Modeling & BI Enablement

• Architect and manage high-value semantic models using Strategy (BI) and Mosaic technology to ensure a centralized source for business metrics
• Design and scale critical data assets, including metrics stores, semantic layers, and analytical cubes, to support enterprise-wide self-service analytics
• Leverage enterprise data platforms to process large-scale datasets and implement modern data engineering workflows within a cloud environment
• Perform database management tasks for Strategy (BI) databases, ensuring these environments are optimized and properly integrated with analytics pipelines

AI-Augmented Productivity & Engineering

• Utilize AI-augmented tools to accelerate code development, documentation, and technical problem-solving
• Apply responsible AI practices by carefully crafting prompts and rigorously validating AI-generated code and outputs to ensure accuracy and reliability

Cross-Functional Collaboration & Strategic Support

• Partner closely with the Data Analytics and Data Science teams to proactively identify, define, and deliver the specific data requirements and datasets they need to succeed
• Collaborate with the Data Governance team to support the development of secure, compliant, and high-quality enterprise data assets and products
• Engage with cross-departmental teams, including Quality Management and Medical Economics, to translate their unique business needs into robust analytical solutions and data products
• Apply software engineering disciplines to the analytics lifecycle, including version control, CI/CD, and automated orchestration to drive scalability and consistency
• Integrate directly into domain teams to bridge the gap between data management and business needs, facilitating federated analytics architectures

Education &…