Job Description
Advance your career as a GenAI Data Analyst in the insurance sector. Utilize Python and machine learning to extract actionable insights from complex datasets.
This hybrid position requires a data analyst with 3 to 5 years of experience in analytics. You will prepare datasets, collaborate with stakeholders, and build performance dashboards that optimize business processes. Additionally, ensuring the quality of AI-generated outputs will be key to your success.
Key Responsibilities:
• Prepare datasets for LLM training purposes
• Collaborate on workflows and business requirements
• Build and maintain insightful performance dashboards
• Ensure quality control of AI-generated results
• Analyze complex datasets linking internal sources
Requirements:
• Bachelor’s degree in Statistics, Computer Science, or similar
• 3 to 5 years of experience in analytics
• Proficiency with BI tools, especially Power BI
• Familiarity with statistical methods and AI principles...
This hybrid position requires a data analyst with 3 to 5 years of experience in analytics. You will prepare datasets, collaborate with stakeholders, and build performance dashboards that optimize business processes. Additionally, ensuring the quality of AI-generated outputs will be key to your success.
Key Responsibilities:
• Prepare datasets for LLM training purposes
• Collaborate on workflows and business requirements
• Build and maintain insightful performance dashboards
• Ensure quality control of AI-generated results
• Analyze complex datasets linking internal sources
Requirements:
• Bachelor’s degree in Statistics, Computer Science, or similar
• 3 to 5 years of experience in analytics
• Proficiency with BI tools, especially Power BI
• Familiarity with statistical methods and AI principles...