Data Science Internship (Remote Eligible) - Graduate Student Preferred
Lands' End Japan
Date: 1 week ago
City: Duluth, MN
Contract type: Intern
- This role is eligible to be performed remotely, however, if you reside within 60 miles of Lands' End's offices in Dodgeville, WI or New York, NY, you will be expected to collaborate onsite in a hybrid fashion for up to 12 days per month.
As An Intern, You Will Join Over 5,000 Talented Individuals Who Are Leaders, Critical Thinkers, Accountable, Curious, Flexible And Results-minded All Driving Toward The Same Goal - To Delight Customers And Drive Sales Through Multiple Channels. In Addition, You Will Join a Diverse Group Of Individuals From a Variety Of Colleges, Universities And Areas Of Study. Some Highlights Of Our Internship Program Include
- Paid Internship: $25/hr (graduate-level hourly rate)
- Twelve-week program: May 19 - August 8, 2025
- Full-time opportunity: 8am - 5pm CT
- Summer Hours: Work ends on Fridays at 1pm CT
- Team building and networking activities
- Group projects and career-building workshops
- Leadership and cross-functional learning opportunities
- Assigned mentor focused on your growth and development
- Senior leader speaker series
- Lands' End merchandise discount
Responsibilities
- Support Digital Marketing, Digital Merchandising and additional internal teams with regular reporting, ad hoc analysis, and deep-dive projects.
- Ensure accurate implementation of data collection requirements by executing quality assurance procedures.
- Train associates to access and use digital analytics to make smarter business decisions.
- Leverage multiple data sources to generate insights and provide recommendations to improve the customer experience and generate revenue.
- Critical to your success will be the ability to communicate effectively, both verbally and in writing, analytical findings as well as technical requirements.
- Graduate level preferred
- Pursuing a degree in IT, analytics, data science, mathematics, or related field
- Analytical and problem-solving skills
- Written and verbal communication skills
- SQL, Python or other programming experience
- Adobe and/or Google Analytics experience
- Proficient/advanced in Microsoft Excel
- Ability to work independently
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