Product Analytics Specialist — Hybrid Chicago

pureinsurance; Chicago (IL); Hybrid; USD 55,000 - 60,000; Full time

Job summary

PURE Insurance is seeking an Analyst for its Product Analytics team in Chicago. The role focuses on building data tools, analyzing performance metrics such as loss ratio and claim frequency, and presenting insights to leadership. It is a hybrid position based in Chicago.

The candidate should have 1–3 years of analytical experience, a bachelor’s degree in a relevant field, and proficiency in Excel, PowerPoint, and Python/SQL to drive data-informed decisions.

Qualifications

• 1-3 years of analytical experience preferred.
• Excellent analytical, quantitative and problem-solving skills and strong attention to detail.
• A minimum of a Bachelor's degree in an analytical field such as Economics, Math, Statistics, Computer Science, or Actuarial Science.
• Experience using Excel and PowerPoint to extract, analyze, organize and communicate data to support decision-making.
• Experience with Python or SQL.

Responsibilities

• Analyze and create metrics to continually improve and monitor products and their underwriting performance, such as loss ratio and claim frequency.
• Leverage computational querying languages to conduct ad-hoc analysis of business results.
• Support the development of operational dashboards by studying department needs to provide readily available actionable insights.
• Present impactful recommendations to business leaders through storytelling with data.
• Support a culture of camaraderie, accountability, and inclusion.

Skills

Analytical thinking

Excel

PowerPoint

Python/SQL

Education

Bachelor's degree in Economics/Math/Statistics/CS/Actuarial Science

Tools

SQL

Job description

PURE Insurance is seeking an Analyst for its Product Analytics team in Chicago. The role focuses on building data tools, analyzing performance metrics such as loss ratio and claim frequency, and presenting insights to leadership. It is a hybrid position based in Chicago.

The candidate should have 1–3 years of analytical experience, a bachelor’s degree in a relevant field, and proficiency in Excel, PowerPoint, and Python/SQL to drive data-informed decisions.