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Quantitative Analyst Intern - Summer 2026 bei Berkley

Berkley · Manassas, Vereinigte Staaten Von Amerika · Onsite

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Company Details:

Berkley_Net_Logo

 

 

Company URL:  berkleynet.com                                      

 

BerkleyNet is an innovative workers compensation insurance provider that does all our business online. Our Goal? To make doing business “Ridiculously Fast. Amazingly Easy.”

Responsibilities:

As a Quantitative Analyst Intern, you will assist in solving real business problems with data. With the combination of savvy business insight and extensive data analysis, we’ll look to you to draw insights, identify trends, and visualize data to make a powerful impact on the company. This dynamic role presents the opportunity to bring your analytical skills to all areas of the organization. The people on the Data Analytics team set each other up for success. We take ownership of our work, seek out challenging and engaging projects, share knowledge, have strong work ethics, and never stop learning.

This position encompasses a broad range of responsibilities including:

  • Creating operating efficiencies: Seek out opportunities within the business to improve processes
  • Visualizing data: Illustrate events and trends using graphs and other visualizations
  • Quantitative analysis: Bring structure to challenging datasets to provide clear conclusions
  • Automation through code: Program away tedious, repetitive tasks to make the most of the day
  • Working with other teams: Meet with other departments to engage in cross-departmental projects
  • Presenting findings to company leadership: Assist in communicating the conclusions of analysis to guide strategic decisions
Qualifications:

Core Competencies

  • Action Oriented
  • Business Knowledge
  • Personal Ownership
  • Coachable
  • Technically Astute

Skills/Experience

  • Familiarity with R, Python or SQL
  • Ability to convert data to actionable insights

 

Travel Requirements

  • Low-level of domestic U.S. travel may be required (up to 5% of time)

Education

  • Progress towards or achievement of bachelor's degree in Business Analutics, Mathematics, Statistics, Computer Science, Finance, or related defree

Additional Company Details

The Company is an equal employment opportunity employer. 

 

 

Sponsorship Details:Sponsorship not Offered for this Role
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