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Are you interested in working with data analysis and business intelligence within optimizing store and logistic solutions? The product area Inventory Optimization is now looking for an additional Data Analyst to join our team.
As a Data Analyst you will work as a key enabler to secure realization of business and customer value from analytics, data and models in our products. You have a strong customer focus, a commercial mindset and innate curiosity. At Business Tech you will get the opportunity to work in a large organization, which heavily relies on making data driven decisions.
The Data Analyst has great analytical skills, believes in a non-hierarchical culture of collaboration, transparency, safety, and trust. Focus is on value creation, growth, and serving customers with full ownership and accountability to deliver exceptional customer and business results.
You will be working close with Product Owners, Business Experts and Software Engineers in one or several products, in an agile environment.
Empower stakeholders to improve the customer value through expert analysis of various types of data
Design new ways of working and support roll-out to the organization
Identify commercial opportunities leveraging data and models
Analyze data using the latest web analytics and business intelligence techniques
Provide data insights for technical solutions and system improvements to improve the customer experience based on interpretations
Implement tools (e.g., Power BI or web-analysis dashboards) that help data consumers to extract, analyze, and visualize data faster and better through data pipelines
As a Data Analyst, we believe you are communicative, social, open, and full of drive and optimism. You have a robust analytical ability with an eye for change and improvement opportunities. Furthermore, we believe you have:
At least 2 years of experience from data analysis, data engineering or similar
Understanding of using numerical, statistical and analytical methods to apply to data processing
Ability to analyze large amounts of data into clear insights
Strong communication skills and an ability to communicate and explain data and its implications to various stakeholders
Ability to define and align assignments with the strategic goals of the business
Analytical mindset with strong problem-solving skills
Be a team player as well as be able to work independent and take own initiatives
Experience and/or interest in technical product development
Fluent in English (written and spoken)
It is a big plus if you have one or more of the following:
Experience in working with programming languages such as SQL
Experience in working with data visualization tools e.g. Power BI, Tableau, QlikView, Data Studio
What we can offer
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 develop. You’ll be part of an important project at H&M Group with significant opportunities to influence and make a difference. With the right mindset and ambition, you’ll find plenty of room to grow. We welcome your application regardless of gender, age, gender expressions, sexual orientation, disabilities, religious beliefs, origin or background.
If this sounds exciting to you, come join the journey and build the future with us!
This is a full-time position with placement in Marievik, Stockholm. Please apply with your CV and Personal letter as soon as possible, no later than 8th of January. If you have any questions about the role, please contact Henrik Stridh, at Henrik.Stridh@hm.com and about the recruitment process, please contact Kristina Dybeck, at Kristina.Dybeck@hm.com.
We are looking forward to your application!
We are on an exciting journey to meet and exceed our customers' expectations today, tomorrow and in the future. Rapid technological development and new customer behaviours are transforming the fashion retail industry. To cater the individual needs and desires of our millions of customers, Business Tech delivers technological solutions for the entire value chain for all our brands.
The best ideas evolve when great minds with different perspectives get together. We’re all on the same team in a global environment and we learn from each other. There are endless opportunities to grow – your development is all up to you!
We are proud to foster a workplace free from discrimination. We strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our users.