Quantitative Analyst Intern - Summer 2026

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.”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 processesVisualizing data: Illustrate events and trends using graphs and other visualizationsQuantitative analysis: Bring structure to challenging datasets to provide clear conclusionsAutomation through code: Program away tedious, repetitive tasks to make the most of the dayWorking with other teams: Meet with other departments to engage in cross-departmental projectsPresenting findings to company leadership: Assist in communicating the conclusions of analysis to guide strategic decisionsCore CompetenciesAction OrientedBusiness KnowledgePersonal OwnershipCoachableTechnically AstuteSkills/ExperienceFamiliarity with R, Python or SQLAbility to convert data to actionable insightsTravel RequirementsLow-level of domestic U.S. travel may be required (up to 5% of time)EducationProgress towards or achievement of bachelor's degree in Business Analutics, Mathematics, Statistics, Computer Science, Finance, or related defreeAdditional Company DetailsThe Company is an equal employment opportunity employer.Sponsorship not Offered for this Role

Created: 2025-09-06