• We are seeking a Validation Data Analyst with strong technical and analytical skills to support the validation of data-driven systems and models
• The role involves working closely with end users to understand validation feedback, analyzing data and model outputs, and identifying root causes of issues to ensure accuracy, reliability, and performance
• Collaborate with end users, business stakeholders, and technical teams to understand validation feedback and reported issues
• Translate user feedback into clear analytical and data-driven problem statements
• Analyze datasets, features, and model outputs to validate results and identify anomalies
• Triage validation issues by assessing relevance, severity, and impact
• Investigate data pipelines and models to determine root causes of errors or unexpected behavior
• Document findings, assumptions, and recommendations in a clear and structured manner
• Communicate insights and root-cause analyses to both technical and non-technical audiences

Support continuous improvement of validation processes, data quality checks, and monitoring frameworks

• Strong data analysis skills using SQL, Python, or similar tools
• Experience working with structured and unstructured datasets
• Understanding of statistical or machine learning models (conceptual or applied)
• Ability to diagnose data quality issues and model performance problems
• Strong problem-solving and critical-thinking skills

Effective communication skills, especially when working with non-technical end users