FAQs
What is the primary goal of BerkleyNet?
The primary goal of BerkleyNet is to make doing business “Ridiculously Fast. Amazingly Easy.”
What will be the main responsibilities of a Quantitative Analyst Intern?
The main responsibilities will include creating operating efficiencies, visualizing data, conducting quantitative analysis, automating repetitive tasks, collaborating with other teams, and presenting findings to company leadership.
What skills or tools are required for this internship?
Familiarity with R, Python, or SQL is required, along with the ability to convert data into actionable insights.
What level of education is expected for this internship?
Candidates should be progressing towards or have achieved a bachelor’s degree in Business Analytics, Mathematics, Statistics, Computer Science, Finance, or a related degree.
Is there an in-person component to the internship?
Yes, there may be some travel requirements, with up to 5% of time dedicated to domestic U.S. travel.
Will I have the opportunity to work with other departments?
Yes, the role includes engaging in cross-departmental projects, allowing for collaboration with other teams.
What kind of environment does the Data Analytics team promote?
The Data Analytics team promotes a supportive environment where team members take ownership of their work, seek out challenging projects, share knowledge, and maintain a strong work ethic while continuously learning.
How will I present my findings during the internship?
You will assist in communicating the conclusions of your analysis to guide strategic decisions and present your findings to company leadership.
Can I apply for this internship if I am not a full-time student?
The internship is targeted towards students progressing towards or having achieved a relevant bachelor’s degree, so being a full-time student is typically expected.
Is this internship paid?
The job description does not specify whether the internship is paid; please check with the company for further details regarding compensation.