BUSINESS ANALYST H&M SPORT

Do you want to be a key part of the journey to build H&M SPORT and establish strong and disruptive new players in growth industries? Are you a strong team player and talented in driving data-driven decisions and customer centricity? Do you have a genuine passion for using both your analytical mindset and business sense?
Look no further, Business Analyst at H&M SPORT is the role for you!
Within the newly created Business Unit H&M Lifestyle Brands, we apply the strong heritage of H&M to new industries, to add excitement and energy to our offer and strengthening the H&M brand. H&M Lifestyle Brands includes H&M HOME, H&M BEAUTY and H&M SPORT. Within H&M SPORT our ambition is to create a new and disruptive global sports brand to get the world moving. You will be part of building an entrepreneurial, multicultural team with a growth mindset who share a passion for sport
At H&M SPORT we are brave. We dare to reimagine and try new things. We want all our team members to feel that they belong. We welcome all new mindsets and cultures with the belief that different perspectives will make us successful. We have a true passion for our teams, brand and products.
Qualifications
As a Business Analyst you will identify business potentials and risks, how we can create value for our customers and what actions we need to take to reach our cross functional goals. Your responsibilities will include, but are not limited to:
Enabling data driven decisions by identifying need for insights within different teams, such as marketing, sales and assortment.
Quantitative analysis across the full customer journey - in digital touch points and in stores – using vast amounts of data on customer behavior, products, transactions, traffic and more.
Analysis of brand performance and customer experience using for example Brand tracker and Customer NPS data, including open text.
Presenting findings, conclusions and suggested actions based on your analysis to colleagues across functions.
Participating in developing the analytical capabilities of the function by constructing easy to use tools and dashboards and educating your colleagues on how to use them.

We are looking for a true team player with a genuine passion for growing businesses and hitting results. You are a curious analyst with a background in a similar role used to developing and setting new ways of working. You love analyzing, whether it is advanced or more basic descriptive analysis, and contributing with your insights to make our business grow. You have an entrepreneurial spirit with drive and good interpersonal and communication skills.
In addition to matching the personal profile we also seek the following:
Minimum 2 years’ experience working with analytics, ideally within retail.
Strong analytical skills combined with business sense. You are triggered to dig into big data sets, find what is relevant and convert your insights into actionable conclusions for the rest of our organization.
Experience in extracting data using SQL and analyzing data in at least one of R/Python/Excel/SAS
Skilled in data visualization, experience with Tableau or PowerBI is an advantage
Experience in Google Analytics is a plus
Business mindset and passionate about making a difference in a highly changing environment.
Relevant university degree within business, statistics or engineering.
Fluent in English



Additional Information
This is a full-time assignment, starting as soon as possible and will be based in Stockholm. Brand Controller H&M SPORT.
If you feel that your experience, skills and ambitions are right for this role, please send your application through our career site latest the 25th of September.
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!