Data Analyst

Responsibilities

• Review AI-generated datasets, dashboards, insights, and summaries to validate accuracy and reasoning
• Identify inconsistencies, missing values, anomalies, or incorrect interpretations in AI outputs
• Provide structured feedback to improve AI's understanding of exploratory data analysis (EDA), visualization choices, and metric interpretation
• Spot weaknesses in AI reasoning, incorrect assumptions, or flawed conclusions
• Evaluate prompts and workflows related to data cleaning, feature understanding, and preprocessing
• Review and refine AI workflows involving Python, Excel, SQL, and BI tools
• Collaborate with internal teams to improve prompt templates, evaluation criteria, and quality guidelines
• Shape datasets, evaluation frameworks, and reasoning patterns to enhance AI analytical reasoning