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