Job Description
Join the Future of Risk Management at Apex Insurance Solutions.
We are looking for a highly analytical and strategic Senior Data Analyst to join our dynamic team in Chicago. In this pivotal role, you will leverage advanced data modeling and predictive analytics to revolutionize our underwriting processes and claims management strategies. If you thrive in a fast-paced environment and are passionate about transforming complex datasets into actionable business intelligence, we want to hear from you.
Why Choose Apex?
- Impact-Driven Work: Directly influence key business decisions that shape our risk portfolio.
- Modern Tech Stack: Work with cutting-edge tools including Python, SQL, and Tableau.
- Competitive Benefits: Comprehensive health, dental, vision, and 401(k) matching.
Responsibilities
- Design and develop complex data models to assess risk and predict claim trends with high accuracy.
- Collaborate closely with underwriting and actuarial teams to translate data insights into strategic pricing adjustments.
- Automate reporting dashboards to provide real-time visibility into key performance indicators (KPIs).
- Conduct deep-dive statistical analysis on historical claims data to identify fraud patterns and operational inefficiencies.
- Ensure data integrity and compliance with industry regulations (e.g., HIPAA, state insurance codes).
- Present data-driven recommendations to senior leadership to drive business growth and risk mitigation.
Qualifications
- Bachelor’s degree in Mathematics, Statistics, Computer Science, Finance, or a related field.
- 5+ years of experience in data analysis, specifically within the insurance or financial services sector.
- Advanced proficiency in SQL (PostgreSQL, MySQL) and programming languages such as Python or R.
- Strong experience with data visualization tools (e.g., Tableau, PowerBI) and ETL processes.
- Deep understanding of actuarial concepts, risk management principles, and insurance product structures.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.