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Quantitative Analyst Intern - Summer 2026
Quantitative Analyst Intern - Summer 2026Berkley • Manassas, VA, United States
Quantitative Analyst Intern - Summer 2026

Quantitative Analyst Intern - Summer 2026

Berkley • Manassas, VA, United States
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Company Details

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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