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Data Analyst to an Inventory Optimization Team in Business Tech

Country : Sweden Sweden

Town : Stockholm

Category : Sales

Contract type : Permanent

Availability : Full time

Company presentation

As one of the world's largest fashion retailers, H&M offers endless career opportunities. A fast-paced, buzzing environment with great diversity - a place where the customer is always the centre of attention

Job description

The H&M group is on an exciting journey to meet and exceed our customers' expectations today, tomorrow and in the future. In Business Tech, we will continuously surprise and delight our customers and accelerate our business - by releasing the power of people, data and technology. We explore new ways of working, have a customer focused mindset, embrace our strong values, and release the power of our people to innovate and develop products that make a meaningful impact to customers all over the world.
Do you want to shape the future of how H&M Group can use data and analytics in just about everything we do? Are you passionate about analyzing and visualizing data and how it can empower us in taking even better decisions about our business? Then H&M Group Business Tech can offer you a position that matches your personality and competence!
About the role
We are now looking for a Data Analyst in our new organization Business Tech - in the product area Inventory Optimization within the Customer Fulfilment domain. As a Data Analyst, you will work in a cross-functional, multi-competence product team consisting of Engineers and Business Experts. Your mission is to support the team with data as well as business analyses to ensure software solutions are generating actionable and value-enhancing results for our customers and business.
Inventory optimization's responsibility covers solutions and improvements from replenishment, through stock optimization and fulfilment of orders to customers, stores, and partners. Inventory Optimization's mission is to make all inventory sellable and available for H&M Group customers in the most profitable and sustainable way possible.
Your insights will drive decision making within the order fulfillment and availability processes together with the product team. You will belong to a product but work much independently together with stakeholders from other products and divisions.
As a Data Analyst you have great analytical skills, believe in a non-hierarchical culture of collaboration, transparency, safety, and trust. Our focus is on value creation, growth, and serving customers with full ownership and accountability to deliver exceptional customer and business results.
Responsibilities
You have a strong customer focus, a strong commercial mindset and innate curiosity. You will work with large data sets to analyze information, visualize ideas, and make recommendations for the future. Since you will handle a lot of complex data, it is important that you possess the ability to transform it into an easily understandable format for a variety of stakeholders.
- Empower stakeholders to improve the customer value through expert analyses of various types of customer data
- Analyze and help designing best logic and algorithms for order fulfilment strategy
- Advocate data-driven decision making through for example experimentation and other quantitative analysis
- Be the go-to persons for analysis within the order fulfilment and availability area
- Design and visualize the products' KPIs and present the what, why and how to improve these
- Support in analysis and verification of model output to improve accuracy of model
- Identify commercial opportunities leveraging data and models
- Provide data insights for technical solutions and system improvements to improve the customer experience based on interpretations
- Support the Product Owner in setting the roadmap and strategy for the product team through data-driven insightsWe are looking for you with
- 4+ years of work experience as a business analyst, data analyst or data engineer preferably within retail, supply chain or similar
- A strong motivation to work in an environment that allows you to work and take decisions independently
- A strong customer focus and commercial mindset
- Experience of - and/or high interest in - working with advanced analytics and AI or forecasting methodologies
- Proven track record to be a great team member
- Proven track record of analyzing large amount of data
- An analytical, creative, and curious mindset in combination with a strong foundation in statistical methods and data processing
- Good knowledge of data-querying using SQL
- Excellent communication skills with the ability to explain data and its implications to a big group of stakeholders
- Experience in data visualization, preferably with excellent knowledge of Power BI
- Communicativeness in English, both spoken and writtenIt is a benefit if you have one or more of the following:
- Experience working with Azure Databricks
- Experience of agile development methodologies
- Experience in supply chain, retail, sales, store operations and/or stock management
- Experience of PythonWhat 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 Stockholm. Please apply with your CV and Personal letter as soon as possible, no later than 20th of May. If you have any questions about the role or the recruitment process, please contact Talent Acquisition Partner Amanda Johansson, at [email protected] For more general questions on the role of Data Analyst, please contact Tech Competence Manager, Niklas Koy at [email protected]
We look forward to hearing from you!
We shape the future of sustainable fashion and design through the power of people, data and technology.
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