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AI Data Analyst - LexisNexis Risk Solutions
Data Analyst
AI Data Analyst focused on enhancing data quality and readiness for AI solutions, leveraging Python, SQL, and data governance practices to structure, govern, and optimize datasets for intelligent systems.
About the role
Key Responsibilities
- Collaborate with cross‑functional teams to define data quality and readiness requirements for AI initiatives.
- Design, develop, and maintain ETL pipelines using Python and SQL to ingest, transform, and cleanse data.
- Implement data governance frameworks, ensuring compliance with privacy and regulatory standards.
- Analyze data quality metrics, identify gaps, and recommend remediation strategies.
- Document data models, lineage, and metadata to support AI model development.
Requirements
- Proven experience with Python and SQL for data manipulation and pipeline development.
- Strong understanding of data governance, quality, and compliance principles.
- Hands‑on experience with ETL tools and data modeling techniques.
- Excellent analytical, problem‑solving, and communication skills.
- Experience in AI/ML data preparation is a plus.