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    InternshipsSHEINData Analysis Intern

    Data Analysis Intern

    SHEIN logo

    SHEIN

    Making the beauty of fashion accessible to all.

    10,001+ employeesFounded 2012Singapore, SingaporeRetail Apparel and Fashion
    Posted 85 days agoApply by Aug 30Actively hiringPaidSummer 2026Retail Apparel and Fashion
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    About the role#

    As a Data Analysis Intern, you will join the Capacity Planning team with a focus on Sales and Operations Planning. You will balance supply and demand, optimize resources, and support daily operations. You will work across departments including supply chain, logistics, sales, and operations to interpret data and inform capacity decisions.

    What you'll do#

    • Collect, analyze, and forecast sales, inventory, and operational data.
    • Build reports, presentations, and visualizations to share capacity needs and gaps with stakeholders.
    • Work with different teams to monitor capacity constraints and support scenario planning.
    • Prepare materials for S&OP meetings and provide insights on resource allocation and supply chain risks.

    What you'll need#

    • Current pursuit of a Bachelor's or Master's degree in Supply Chain Management, Operations Research, Data Analytics, or a related field.
    • Strong analytical skills and experience with Excel, SQL, or Python.
    • Ability to communicate well and work in a team.
    • Availability for a 12-week full-time commitment during Summer 2026.

    Location & details#

    • Location: United States
    • Term: Summer 2026
    • Schedule: Full-time, 12 weeks
    • Status: Paid internship
    • Sponsorship: Not available
    Relevant fieldsSupply Chain ManagementOperations ManagementData Science

    About SHEIN

    SHEIN is a global online retailer of fashion and lifestyle products. The company operates through a network of vendors to provide apparel at affordable prices. It was founded in 2012 and currently maintains a workforce of more than 16,000 employees. The firm is headquartered in Singapore and manages operations across multiple international locations.

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