Business Analyst to Business unit Womenswear

Job Description
Would you like to elevate how we appeal to the fashion interested women in any given timing, touchpoint, and location – by using data as our foundation for all decision making? We are building a world class digital customer experience team and we need you!
What you will do as a Data Analyst
As a Business Analyst in Business Unit Womenswear, you will be working with data analysis and business intelligence related to customer behavioral patterns, in the rapidly evolving retail and e-commerce industry.
Womenswear is the biggest Business Unit within H&M and consists of three main functions, assortment, marketing and customer experience. You will work in the commercial operation team which is a part of the customer experience function and on a weekly level follow the customer behavior and constantly give data and insights to strengthen our decision-making. You will be connected to a wide collaborative network of Data analysts within H&M and be part of forming how we integrate customer data in our everyday business.
We believe you are a strong communicator, as well as the ability to communicate and explain data and its implications to various stakeholders . You are a problem solver at heart and enjoy working and collaborating with others. You understand that strategies, commercial planning and commercial execution is always customer centric, forward leaning and data driven. You share the end goal of creating the most relevant customer offer and experience, grow our customer base, drive profitable sales and create meaningful relationships with our customers.
In this role, you will get the opportunity to work in a large data analyst community and in an organization, which heavily relies on making data driven decisions. This is a unique opportunity to nurture your analytical side working with big data to provide insights that will lead your team in their decision making.
Qualifications
To be successful in this role we believe you have the following qualifications:
Relevant university degree within engineering, statistics or business.
Minimum 4 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.
Demonstrated ability to analyze large amounts of data into clear insights.
Be the driver for data driven decision making by enabling data visibility and educating different stakeholders
Convert different forms of data into common language in order to guide the team
Experience in working with analytical programming languages such as SQL, R, or Python.
Experienced in working with Google Analytics is a plus.
Skilled in data visualization, experience with Tableau, PowerBI is an advantage.
Business mindset and passionate about making a difference in a highly changing environment.
Fluent in English.

Additional Information
We work in a constant changing environment and no day is like the other. Therefore, we believe you thrive from working in a not yet formalized environment where anything and everything can happen. H&M is a value driven company. We are one team, and we share our knowledge and competence. We expect you to be a team-player; ready to share, learn and collaborate to get the best outcome. You will take on great responsibility from the start and be able to contribute with lots and lots of ideas.
Come join us on our journey!
This is a fulltime position with placement in Stockholm. You will report to Head of Customer Experience at H&M Business Unit Womenswear. We will not ask you for a lengthy Cover Letter, however we do want to see your CV with a short introduction as to why you are applying for this role. Do this as soon as possible but no later than August 11th 2022.


Please note that summer vacation is approaching, expect to hear from us after week 32.
For questions about the position and/or recruitment process, please contact Talent Acquisition Partner Haben Zeriet at haben.zeriet@hm.com
Please note that we do not consider application sent in via email.