INTERNSHIP DETAILS

Business Analyst Intern

CompanyH&M Group
LocationShanghai
Work ModeOn Site
PostedAugust 7, 2026
Internship Information
Core Responsibilities
The intern will build and maintain omni dashboards using Power BI and Quick BI while validating data sources and troubleshooting anomalies. They will also support business reporting by writing SQL queries, managing global data projects, and presenting insights to stakeholders.
Internship Type
intern
Company Size
106097
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Founded in 1947, H&M Group is a global design company with ~4,702 stores in 76 markets and 56 online markets. At H&M Group, we believe in making great design available to everyone. It’s essential in everything we do. Our family of brands and business ventures offer customers around the world a wealth of fashion, beauty, accessories and homeware, as well as modern menus with fresh and local produce at some of the brands’ in-store eateries. But design is so much more than just products; it’s about clever design processes, efficient product flows, creating experiences that enrich, and smart solutions that benefit all our customers. Sustainability is always at the core of our business. Not only because we like to do what’s right — but it’s also beneficial for our business. We will continue to push for change and lead the way towards a more inclusive and sustainable fashion future. Do you want to join us? We will trust you with great responsibility right from the start, reward a passionate mindset and encourage an entrepreneurial spirit. When you start a career with H&M Group, there’s no limit to where it can take you. H&M Group's Moderation Policy: Welcome to H&M Group’s official LinkedIn page. Ask questions, exchange ideas and meet members and employees from all over the world. This page is moderated daily and we always do our best to answer each one of you in a timely manner. Please remember to keep a friendly tone and in line with LinkedIn’s legal terms at https://www.linkedin.com/legal/user-agreement Comments and posts that contain foul language, are off-topic or unnecessarily rude will be deleted. We also encourage you to report any inappropriate content. We use an external tool to handle the comments on our page, so please note that your comments can be stored. For questions, please contact our team at info@hm.com.
About the Role

Company Description

H&M Group is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design, affordable prices, and sustainable solutions. We want to liberate fashion for the many, and our customers are at the heart of every decision we make.​

​We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together, we want to use our power, our scale, and our knowledge to push the fashion industry towards a more inclusive and sustainable future. 

Job Description

  1. Build and maintain omni dashboards via Power BI and Quick BI, optimize visualization to satisfy business reporting requirements. 
  1. Validate the accuracy, completeness and consistency of new‑built Alibaba Cloud data sources, cooperate with technical teams to troubleshoot and fix data anomalies. 
  1. Write SQL queries for data extraction, filtering and aggregation. Respond to ad‑hoc analysis demands from each department, organize outcomes and present core insights to stakeholders. 
  1. Update and archive work documents, operation SOPs and data dictionaries, keep all‑team shared‑files up‑to‑date. 
  1. Finish cyclical daily, weekly, monthly, and quarterly data‑related work, including dataset refresh, PowerPoint update and data review.
  2. Manage and push forward global‑data projects, engage stakeholders and deliver milestones.
  1. Participate in building integrated e-commerce datasets and dashboards to support business reporting and decision-making. 

Qualifications

  1. Undergraduate student majoring in Business‑related subjects, Mathematics, Statistics, Computer Science and other relevant disciplines 
  1. Hands-on experience with SQL queries and Python, Power BI /Quick BI 
  1. Keen eye for details, clear logical thinking and capability to manage multiple concurrent assignments 
  1. Initiative‑driven, fast‑learning and ready to take data‑analysis and project‑coordination work‑challenges 
  1. Basic to good English communication, reading and writing skills. 
  1. Available for 3–4+ working days per week, at least 6 months or above 

Additional Information

WHY YOU’LL LOVE WORKING HERE 

At H&M Group, we are proud to be a vibrant and welcoming company. We offer our employees attractive benefits with extensive development opportunities around the globe. ​

  • 25% Staff discount on all our H&M Group brands, both in stores and online (H&M, COS, Weekday, Monki, H&M HOME, & Other Stories and ARKET).​

We value diverse backgrounds, including but not limited to race, ethnicity, gender, age, religion, sexual orientation, and disability 

  • We pride ourselves on being a values-driven organization, guided by our 7 unique values that have been part of our success story for over 75 years 
  • You’ll have access to our Colleague Resource Groups (CRGs) to find community and networking opportunities among colleagues 
  • We are an inclusive company where you’re encouraged to be yourself at work 
  • You will have access to a large global talent community, where career growth and aspirations have no limits 
  • We believe in supporting your overall wellbeing and offer comprehensive benefits inclusive of health insurance, wellness and family support programs, paid leave programs, and paid time off, including a community day to serve your local community             

JOIN US   

Our uniqueness comes from a combination of many things – our inclusive and collaborative culture, our strong values, and opportunities for growth. But most of all, it’s our people who make us who we are.

Take the next step in your career together with us. The journey starts here.

 

 *We are committed to a recruitment process that is fair, equitable, and based on competency. We therefore kindly ask you to not attach a cover letter in your application. 

 

Key Skills
SQLPythonPower BIQuick BIData analysisData visualizationReportingProject coordinationData extractionData cleaningStakeholder managementLogical thinkingAttention to detailCommunication
Categories
Data & AnalyticsRetailTechnologyConsulting
Benefits
Staff discountHealth insuranceWellness programsFamily support programsPaid leave programsPaid time offCommunity day