Business/ Data Analyst Intern (Summer 2027)

L.L.Bean•Freeport, ME
•$20 - $22•Onsite

About The Position

L.L.Bean is hiring a Business/Data Analyst Intern for its Summer 2027 Internship Program. The internship provides hands-on experience in data and business analysis, including projects that use data to inform business decisions and identify improvements and efficiencies. Interns work in person at a Maine office location, on site within commuting distance of Freeport, Maine, for the full program. The program runs from June 1 through July 31, 2027, and requires 32–36 hours per week, with in-office attendance Monday through Thursday. The role combines data analyst and business analyst responsibilities. Data analysis work includes collecting, cleaning, and analyzing data; maintaining dashboards and reports; supporting data models and visualizations; identifying trends and insights; and documenting processes. Business analysis work includes gathering requirements, evaluating processes, supporting business cases and project plans, collaborating with stakeholders, and communicating findings and recommendations. L.L.Bean describes its workplace as committed to inclusion and belonging. The program offers real-world project experience, mentorship, networking, employee discounts, and outdoor activities. Interns without housing within 50 miles of the Freeport Headquarters may be eligible for a housing stipend, subject to case-by-case review. The anticipated starting base pay is $20–$22 per hour.

Requirements

  • Currently pursuing a bachelor’s degree in Data Science, Statistics, Computer Science, or a related field for the data analyst focus.
  • Proficiency in data analysis tools and languages such as SQL, Python, or R.
  • Experience with data visualization tools such as Tableau or Power BI.
  • Currently pursuing a bachelor’s degree in Business Administration, Management Information Systems, or a related field for the business analyst focus.
  • Proficiency in Microsoft Office Suite, including Excel, PowerPoint, and Word.
  • Strong analytical and problem-solving skills.
  • Excellent communication and teamwork abilities; excellent communication and interpersonal skills.
  • Ability to work independently and as part of a team.
  • Attention to detail and ability to manage multiple tasks; strong organizational skills.
  • Work in person at a Maine office location and remain within commuting distance of Freeport, Maine for the full two-month program.
  • Work 32–36 hours per week, with in-office attendance Monday through Thursday.

Nice To Haves

  • Share a blog, social media profile, website, portfolio, or relevant project that demonstrates passion and interest in L.L.Bean.

Responsibilities

  • Collect, clean, and analyze data from various sources.
  • Develop and maintain dashboards and reports to track key performance indicators.
  • Assist in creating data models and visualizations.
  • Analyze data to identify trends, patterns, and insights.
  • Collaborate with cross-functional teams to support data-driven decision-making.
  • Document data processes and methodologies.
  • Gather and document business requirements.
  • Analyze business processes and identify areas for improvement.
  • Support the development of business cases and project plans.
  • Collaborate with stakeholders to understand their needs and provide solutions.
  • Create reports and presentations to communicate findings and recommendations.
  • Participate in meetings and workshops to facilitate discussions and gather feedback.
  • Follow L.L.Bean health and safety guidelines, policies, procedures, and expectations, and take appropriate action to rectify unsafe conditions.

Benefits

  • Employee discounts.
  • Access to outdoor activities.
  • Hands-on experience with real-world data analysis projects.
  • Mentorship from experienced data professionals.
  • Networking opportunities with industry leaders.
  • Potential housing stipend for eligible interns without access to housing within 50 miles of the Freeport Headquarters; requests are reviewed case by case.
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