Why This Role Is CriticalThe 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.
What You'll Do Day-To-Day- 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
What You'll Bring- 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
Total Rewards Package- Salary: $85,000-$116,000 and may also include annual incentives and performance bonuses. The base salary range is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, competencies and work location.
- Health & Wellness: Multiple medical plan options, dental & vision coverage, life insurance, long- and short-term disability, and optional supplemental plans (critical illness, accident, hospital indemnity, dependent life).
- Retirement: 401(k) with employer match.
- Paid Time Off: Up to 3 weeks of vacation, 8 sick days, and 13 paid holidays annually.
- Extra Perks: Lifestyle spending account, employer paid mental health support, education reimbursement, professional development opportunities, adoption assistance, parental leave, and employee assistance programs.
