AI Data Analyst

Framatome North America • Lynchburg, VA

2d • Onsite

About The Position

The AI Data Analyst role is critical to Framatome’s ability to transform data into actionable insights that support operational efficiency, strategic decision-making, and continuous improvement across the organization. By analyzing complex datasets, identifying trends, and developing AI-driven reporting and analytics solutions, this role helps improve productivity, optimize business processes, and enhance visibility into key operational and performance metrics. In a highly regulated and safety-focused industry, the AI Data Analyst also plays an important role in ensuring data accuracy, governance, and reliability while supporting Framatome’s broader digital transformation and innovation initiatives.

Requirements

• Bachelor’s Degree in Computer Science or a technical or business field with a minimum of 4 years of related experience is required. Equivalent work experience may be considered in lieu of degree.
• Advanced knowledge of a variety of the Information Technology concepts, practices and procedures.
• Ability to design scalable, secure, and efficient technical solutions.
• Ability to translate user needs into technical solutions/specifications.
• Ability to change priorities quickly, confront issues directly and work well as part of a team.
• Excellent communication skills with ability to work effectively with all levels of staff and management.
• Ability to develop and maintain good interpersonal relationships; work collaboratively within a team environment.
• Ability to change priorities quickly, confront issues directly and work well as part of a team

Responsibilities

• Analyze and transform large volumes of structured and unstructured enterprise data for AI and analytics use cases
• Design and implement data preparation workflows optimized for: LLM ingestion, Retrieval-Augmented Generation (RAG), Semantic search, Knowledge retrieval systems
• Clean, normalize, tag, enrich, and organize historical datasets from multiple enterprise sources
• Develop metadata, taxonomy, chunking, and indexing strategies for AI-ready datasets
• Work with engineering and AI teams to improve data quality and retrieval effectiveness
• Build and maintain pipelines for document processing, transformation, and embedding preparation
• Identify redundant, stale, or low-quality data and recommend remediation strategies
• Support vector database and knowledge base preparation efforts
• Collaborate with subject matter experts to contextualize and structure domain-specific information
• Create dashboards, reports, and analytics to assess dataset quality and AI retrieval performance
• Document data standards, processing methodologies, and governance practices

Benefits

• Multiple medical plan options
• dental & vision coverage
• life insurance
• long- and short-term disability
• optional supplemental plans (critical illness, accident, hospital indemnity, dependent life)
• 401(k) with employer match
• Up to 3 weeks of vacation
• 8 sick days
• 13 paid holidays annually
• Lifestyle spending account
• employer paid mental health support
• education reimbursement
• professional development opportunities
• adoption assistance
• parental leave
• employee assistance programs

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level