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The Customer Insights & Analytics team, part of the H&M brand global organization, is now looking for a new Business Analyst to join us!
At H&M we have a strong, value-driven culture characterized by believing in people, teamwork and an entrepreneurial spirit. Here you can be yourself and grow with significant opportunities to influence and make a difference. With the right mindset and ambition, you’ll find plenty of room to grow.
Our team’s vision is to provide the best possible decision support for the H&M brand and lead the transformation in becoming a customer, data, and insight centric company. More specifically, we are a team of seven analysts working together to solve complex business problems using data and analytics to generate insights for all other functions in the company! In our team we work 100% project based will full dedication towards solving the question at hand. We do not put out fires, we do not spend our days in unproductive meetings, we solve problems!
Do you want to find solutions to the trickiest problems H&M is facing today? Are you passionate about data and how it can support us in taking even better decisions in our business? Then you might be our next Business Analyst!
The position will be located at our newly renovated head office in Stockholm, Sweden.
Please apply with your CV in English as soon as possible, but no later than October 3rd. At H&M Group we strive to have a fair and inclusive recruitment process. Why kindly ask you to not attach cover letter in your application as they often contain information that can easily trigger unintentional biases.
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. We strive to have a fair and inclusive recruitment process. Therefore, we kindly ask you to not attach a cover letter in your application as they often contain information that can easily trigger unintentional biases.
We are looking forward to hearing from you!
28-02-2024
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