Analytics Analyst II

About the role

We are looking for a modeling-focused analyst to lead and support commercial lines predictive modeling initiatives. The role acts as an internal consultant for business partners to enable better decisions by collecting and integrating data, building statistical models, and designing solutions for predicting and monitoring the impact of business decisions.

Responsibilities

• Model development, variable engineering, data preparation, statistical analysis, model validation, deployment, performance monitoring, and ongoing enhancement of pricing and underwriting models.
• Meet with internal analytics consultants or business partners to understand analytics needs and propose solutions.
• Maintain active understanding of available internal and external data sources; identify, collect, and integrate data needed to address business problems.
• Create reports or data views to support business partners.
• Build predictive models (linear and non‑linear regression, decision trees, etc.) of consumer behavior (loss costs, marketing response, conversion, fraud, etc.) or other relevant target variables.
• Create new solutions or enhance existing tools to simulate and monitor the impact of business decisions.
• Develop skills in prioritizing, organization, decision making, time management, and verbal/written communication.
• Ability to establish priorities, work independently, and proceed with objectives without supervision.
• Provide clear documentation as part of governance processes.
• Work closely with Data Services unit to maximize value of existing solutions and provide guidance on incorporating new elements.
• Perform ad hoc analyses or reporting to support business partners.
• Improve data extractions and processes related to essential functions.
• Perform other duties as assigned.

Requirements

B.A. or B.S. with major in mathematics, statistics, economics, actuarial science, or computer science (other majors acceptable with sufficient mathematics background). Advanced degree preferred.

Qualifications

• Minimum of four years of experience in the insurance or banking industry in a technical role (actuarial, marketing research, etc.) preferred.
• Experience working with large data sets using SQL and/or SAS.
• Experience conducting regression analyses using SAS, R, or other statistical software.
• Knowledge of insurance terminology and ratemaking preferred.
• Strong written and verbal communication skills required.
• Strong analytical and problem‑solving skills required.
• Experience with data visualization software (Tableau) preferred.

Skills

Prioritizing, organization, decision making, time management, verbal/written communication; ability to work independently; clear documentation; collaboration with Data Services.

Benefits

• Health, Dental & Vision Insurance
• Company‑provided life and income protection plans
• Eligibility to participate in a company incentive bonus program
• 401(k) Retirement Plan – 100% company match up to 7% of annual salary
• Paid Time Off, Paid Holidays, and Floating Holidays
• Flexible Work Arrangements – Hybrid and remote depending on the role

Pay

Salary range: $77,450.00 – $123,921.00 annually, plus bonus and benefits. Pay type: Salary.

Schedule

Hybrid role with an in‑office expectation each week at the corporate office in Columbus, Ohio.