Customer Analytics

JOB REQUIREMENTS: Customer Analytics Internship (Hybrid) - Graduate Level Preferred - CUSTO005560 *This is a hybrid role with three weeks per month onsite (Mon Thurs). The remaining days are remote. 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 rogram 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 * We offer mileage reimbursement, expenses incurred during travel (food, tolls, etc.), and a small U-Haul trailer. If you will need a small U-Haul, please discuss with your recruiter. Our internship program is designed with future leaders in mind and serves as a pipeline for top talent. Participants in our program receive one-on-one mentorship while working alongside seasoned Data Analytics professionals. You will work with the team to develop and provide analysis and identify opportunities for innovation, efficiency and productivity. We will look to you to share your ideas and recommendations. The Intern experience at Lands\' End is a comprehensive development-based role, designed to facilitate a robust Data Analytics career path.Interns will be immersed and integrated in the various functions of Data Analytics and understand the factors that contribute to the broader scope of Data Analytics while gaining valuable hands-on experience in skill competency areas. Responsibilities * Support Digital Marketing, Digital Merchandising and additional internal teams with regular reporting, ad hoc analysis, and deep-dive projects. * Partner with leadership, merchandising, and marketing teams to identify key opportunities, define objectives, and develop strategic analytical initiatives aimed at enhancing customer growth and performance. * Deliver actionable recommendations to enhance customer engagement, optimize acquisition strategies, and boost retention rates through thorough data analysis. * Leverage diverse data sources to uncover actionable insights that enhance the customer experience and drive revenue growth. * Critical to your success will be the ability to communicate effectively, both verbally and in writing, analytical findings as well as technical requirements. The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor\'s legal duty to furnish information. 41 CFR 60-1.35(c) Equal Opportunity Employer-minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity ***** OTHER EXPERIENCE AND QUALIFICATIONS: Qualifications * Graduate level preferred * Pursuing a degree in Engineering, IT, Analytics, Data scienc , Mathematics, or related field * Structured & Logical Thinking: The ability to identify and define business problems and develop strategic & analytical frameworks to conduct analyses. * Familiarity with programming skills in Python, R, or a similar scripting language. * Experience transforming data into presentations that \"tell the story \"behind the data * Familiarity with AWS cloud services * Advanced SQL Experience * Proficient/advanced in Microsoft Excel * Ability to work independently ***** APPLICATION INSTRUCTIONS: Apply Online: https://ars2.equest.com/?response_id=e91632f5b0e3e50005808ae062af7cdc Other: Applicants ONLY to apply via URL link provided!