Business Intelligence Analyst to H&M

Do you want to be a part of transforming H&M’s analytical toolkit? Are you highly skilled in Power BI, SQL or data modelling? Do you have the drive and the initiative to work with teams across the company and establish a new generation of tools?
We are a family of brands and businesses, driven by our desire to make great design available to everyone in a sustainable way. Together we offer fashion, design and services, that enable people to be inspired and to express their own personal style, making it easier to live in a more circular way. The H&M Group operates more than 4800 stores in 75 countries under 9 distinct brands. We continue to expand worldwide, as one of the largest fashion companies in the world!
We are now looking for a Business Intelligence Analyst to continue the transformation of H&M’s analytical toolkit.
The H&M group is currently on a transformation journey to becoming a truly customer-focused company and ensuring that we constantly meet new customer demands. The Business Intelligence area is a key part of this transformation and have an important role to play. In the coming years the team will map business needs, build reports and datasets, democratize data and lead the BI development in the company. If you join us you will be working in a dynamic environment, close to our core business, enabling thousands of decision-makers across all H&M markets globally to get the insights they need.
Job Description
As a Business Intelligence Analyst you will be transforming and visualizing large amounts of data for hundreds of users in a complex data environment using the Microsoft Power BI platform. If you love building things, solving technical problems and learning quickly, you will feel right at home. But this is more than a technical role. To succeed you will need to take initiative, manage your own projects, communicate clearly with many stakeholders, and strive to truly understand our business. If you want this combination of high expectations on both technical and non-technical skills this role is for you.
Key responsibilities:
Build and maintain reports, data models and BI solutions that take H&M’s analytical capabilities to the next level
Work with a wide range of business stakeholders to understand their analytical needs and make sure our reports have a strong business impact
Share your technical knowledge and contribute to the H&M BI and data community.
Work with IT teams to establish a data environment that fully supports the front-end needs



To be successful in this role, you:
Have a genuine interest in creating business value out of data
Are self-driven, pragmatic, structured and thorough in your deliveries
Are experienced in working with large data sets and complex problems
Are a team player and enjoy sharing your knowledge with colleagues
Are eager to learn and actively follow the latest developments in BI tech, and have the drive to realize its potential
Love data as much as we do



Technical skills
Report creation in Microsoft Power BI (or similar) including data modelling and transformation
Data visualization and data story-telling
SQL
Skills in related Microsoft Power Platform tools, such as Power Apps and Power Automate is also meriting



As a person we believe that you are a flexible, communicative and ambitious team player, full of drive and optimism. You effectively collaborate with a group of diverse people to achieve set goals and targets. You have a genuine passion for growing businesses and creating results. You thrive in an entrepreneurial setting where you are constantly looking for possibilities to develop more efficient ways of working.


Additional Information
This is a fulltime assignment, starting as soon as possible. You will be based in Stockholm. Fluency in English is mandatory; Swedish is not.
If you feel your experience, skills and ambitions are right for this role, we welcome your application!
We look forward to hearing from you!
H&M Group 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.