Data Analytics Specialist, Insurance (Manager)

Role & Responsibilities Overview:

• Develop and implement data/analytics (data analysis, data science, BI) solutions across insurance functional areas claims, underwriting, pricing, marketing
• Perform hands on delivery on individual projects and/or mange small group of team, depending on client project requirements
• Conduct use case development sessions with clients to understand their needs and develop impactful solutions
• Act as SME for any data science, analytics needs for insurance client for various P&C Insurance (Life insurance is good to have) products
• Manage day-to-day operations for individual project, small group of team members ensuring that all project tasks are completed on time and with expected quality, accuracy

Candidate Profile:

• Based out of US (preferably Ohio)
• Willing to travel to client locations (25%)
• 6+ years experience across P&C Insurance products personal, commercial lines (auto, property, specialty, workers comp, general liability etc.) across various functions - claims, underwriting, pricing, marketing
• Strong hold in developing & implementing analytics solutions including data engineering/models, reporting/dashboarding, predictive modeling
• Master's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; Candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply
• Technical skills = Advanced machine learning techniques, SQL, Python, PySpark, Databricks, Power BI