AI Data Analyst
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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
