Data Analyst Intern

ChubbSimsbury, CT
4h

About The Position

A Data Analyst Intern on the Cohort Modeling Team within Global Analytics supports the development and analysis of cohort-based models used to inform strategic business decisions. Responsibilities include data collection, cleaning, preprocessing, model support, and communicating insights to stakeholders using visualizations and reporting tools Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally. At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law. Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees. Chubb prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment.

Responsibilities

  • Assist in collecting, cleaning, and organizing raw data from diverse sources for cohort and modeling projects.
  • Support team members in exploratory data analysis and cohort segmentation.
  • Help build, document, and maintain cohort models and associated data assets.
  • Analyze trends and patterns in cohort performance to drive recommendations.
  • Create visualizations and dashboards using tools like Excel, Tableau, Power BI, or custom scripts.
  • Document methodologies, processes, and results for reproducibility and auditability.
  • Present findings and actionable insights to team leads and cross-functional partners.
  • Collaborate with statisticians, data scientists, and business stakeholders on analysis requirements.
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