Do you enjoy analyzing data to identify business needs and transform insights into actionable business decisions? Do you have a genuine interest in creating business value out of data? Are you ready to join an industry in transformation? We are currently  looking for two Business Analysts within our team at H&M Global Logistics!

Global Logistics Controlling is part of the Supply Chain Department, which is supporting all Brands and business models within H&M Group. The Logistics Controlling and Business analyst? team, is diversified with colleagues with different backgrounds working closely together to improve the business. As a team member you will also work in close cooperation with many departments within H&M – both globally and regionally. 

As a Business Analyst you will be working in a team of Business Controllers and Business Analysts with a mission to identify business needs, drive efficiency and translate insights into recommendations that deliver clarity for actionable decision-making. This is an opportunity to get onboard the transformation journey of one of the world’s leading fashion retailers and where you will be enabled to influence and develop change within the business.

Together with your colleagues you will:

• Analyze large data sets relating to our operations and deliver clear insights
• Solve business problems by exploring trends and patterns in data, then transform it into actionable solutions
• Identify business needs and develop reports and KPIs to support the business
• Perform comprehensive analysis to support ad-hoc reporting requests
• Secure quality of data and KPI calculation in the reports
• Collaborate cross functionally within the H&M group to exchange ideas and analysis
• Challenge how we evaluate our business today
• Work in tight collaboration with Global and Regional stakeholders to align KPI’s and set a collective logistics direction

• Genuine interest in how to create business value with the use of data
• Strong analytical skills and the ability to comprehend, analyze and put numbers in use for decision making
• 2-5 years of work experience from similar roles of putting large data into actions
• A higher education within economics, business administration, statistics or Mathematics.
• Strong communication skills
• Advanced knowledge in Microsoft Excel
• Fluent written and spoken English
• A background in Retail and/or Supply Chain is considered as a plus

As a person we believe that you are an open minded, flexible and a communicative team player full of drive and optimism who enjoys working in a diverse work environment. You have a genuine interest in creating business value out of data. You have a “can do” attitude and strong entrepreneurial spirit always striving to do things in a smarter and more efficient way. You believe in collaboration and thrive in a constantly changing environment. You are curious by nature and triggered by the challenge of a complex problem.

This is a full-time assignment, starting as soon as possible and will be based close by a logistics facility within Europe with willingness to travel.

Locations of H&M Logistics’ main facilities in EU: Stockholm/Eskilstuna or Gothenburg/Boras (SE), Hamburg  (DE), Poznan, Warsaw (PL), Brussels/Ghlin (BE), Copenhagen (DK), Madrid (ES), London/Birmingham/Milton Keynes (GB),Piacenza/Stradella (IT), Eindhoven/Tilburg (NL), Vienna (AT).

If you feel that your experience, skills and ambitions are right for this role, please send your application through our career site latest May 25th. Responsible Recruiter is Pascale Fainé. During the interview you will be expected to present one of your previous cases where you have successfully translated data into valuable insights.

Kindly do not send applications to this email address, due to GDPR, we only accept applications through our career page. 

We look forward to receiving your application! 

H&M is committed to creating a Diverse & Inclusive environment and we are actively looking for qualified candidates irrespective of race, gender, gender identity, sexual orientation, ethnicity, religion, national origin, disability or age.