Note: The job is a remote job and is open to candidates in USA. Progressive Insurance is seeking a lead data analyst for its Subrogation Analytics team. The role evaluates subrogation performance, identifies recovery opportunities, applies advanced analytics and predictive modeling, and delivers actionable business recommendations while mentoring junior analysts and guiding high-impact analyses.
Responsibilities
- As a **lead data analyst** on the Subrogation Analytics team, you’ll evaluate subrogation performance, identify recovery opportunities, and enable data-driven decision-making across the Subrogation function
- In this role, you’ll use advanced analytics, statistical techniques, predictive modeling, machine learning, and data science methods to identify trends, uncover recovery opportunities, and enhance operational effectiveness
- You’ll work closely with partners across Subrogation, Data Science, and Process teams to deliver actionable insights, shape strategic priorities, and translate complex analyses into clear business recommendations
- You’ll also lead high-impact analyses, including cost-benefit assessments and strategic initiatives, to help partners evaluate performance, prioritize opportunities, and make informed decisions
- As a leader, you’ll guide team members, mentor junior analysts, and elevate analytical capability across the team
Skills
- A minimum of eight years of analytical work experience
- {OR} Bachelor's degree or higher and a minimum of seven years of analytical work experience
- {OR} Bachelor's degree or higher in a quantitative field of study and a minimum of five years analytical work experience
- Advanced analytical and quantitative skills, with experience working with large, complex, structured and unstructured datasets, with a strong foundation in statistical methods and model evaluation
- Experience applying machine learning and predictive modeling techniques such as classification, regression, clustering, decision trees, random forests, and gradient boosting
- Experience in exploratory data analysis, feature engineering, model development, validation, performance measurement, and interpretation of model outputs
- Proficiency in SQL, with strong programming skills in Python, R, SAS, or similar tools, plus experience with Excel, with the ability to identify null values, along with visualization tools such as Power BI or Tableau
- Strong communication skills, sound data quality and data preparation knowledge, and preferred experience in Subrogation, Claims, Insurance Operations, or a related function
- Sponsorship for work authorization for foreign national candidates is available for this position
- Individuals in F-1 visa status who will need sponsorship now or in the future are not eligible for hire for this position
Benefits
- Gainshare annual cash incentive payment up to 30% of your eligible earnings based on company performance
- 401(k) with dollar-for-dollar company match up to 6%
- Medical, dental & vision, including free preventative care
- Wellness & mental health programs
- Health care flexible spending accounts, health savings accounts, & life insurance
- Paid time off, including volunteer time off
- Paid & unpaid sick leave where applicable, as well as short & long-term disability
- Parental & family leave; military leave & pay
- Diverse, inclusive & welcoming culture with Employee Resource Groups
- Career development & tuition assistance
- Onsite gym & healthcare at large locations
- Remote work allowed
Company Overview
Company H1B Sponsorship