Data Analyst to Allocation Precision team to Business Tech

Company Description


The H&M group is 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.
We 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.




Job Description


Do you want to shape the future of how H&M can use data and analytics in just about everything we do? Are you someone who is unfazed by new problem statements and loves solving meaningful problems with data? Are you passionate about analyzing and interpreting data to help make better decisions about our business? Then H&M Group Business Tech can offer you a position that matches your personality and competence!
We are now looking for a Data Analyst for the Core Allocation product in Allocation Precision within Business Tech. This is a great opportunity to join one of the key products within H&M’s supply chain and be part of our data and tech transformation journey within allocation. We welcome your application regardless of gender, age, gender expressions, sexual orientation, disabilities, religious beliefs, origin or background!
About the role
As a Data Analyst, you will work in a cross-functional, multi-competence product team consisting of Data Practitioners, Software Engineers and Business Experts. Your mission is to support the team with data needs as well as business analyses to contribute to the product’s maturity, development & scale and the ability to deliver positive impact for our customers and the business.
About the product
Core Allocation is situated within the allocation precision area and is an integral part of H&M’s supply chain processes. It is an internal Allocation tool and logic that support and execute the allocation strategies across our retail markets. Our focus is to drive and improve our allocation decisions through data and tech.
Your Responsibilities
Analyze and help designing the best data logic, models and solutions for the product
Drive analytical agenda by supporting the architecture, evaluation and goals of the product along with peers & stakeholders
Advocate and enable data-driven decision making through viable experimentation, supported by quantitative analysis and by bringing different data points together
Work together with the data analyst community in your team and area and be the go-to person for all data needs within the product
Establish actionable KPIs and reporting for the product that present the why, what and point towards how to improve
Support product team in providing analysis and insights to plan the development agenda of the product




Qualifications


Your Responsibilities
Analyze and help designing the best data logic, models and solutions for the product
Drive analytical agenda by supporting the architecture, evaluation and goals of the product along with peers & stakeholders
Advocate and enable data-driven decision making through viable experimentation, supported by quantitative analysis and by bringing different data points together
Work together with the data analyst community in your team and area and be the go-to person for all data needs within the product
Establish actionable KPIs and reporting for the product that present the why, what and point towards how to improve
Support product team in providing analysis and insights to plan the development agenda of the product


We are looking for you with
A strong motivation to work in an environment that supports and allows you to grow and take decisions independently
An analytical, creative, and curious mindset in combination with a strong foundation in statistical methods, business intelligence and data processing
Experience with working on real world problems, ideally including analyzing large amount of data
Experience working in a global environment with people from different cultural and professional backgrounds
1+ years of work experience related to work with product development, preferable on the solutions focus’ on data analytics within retail, supply chain or similar
A result-oriented mindset who is comfortable navigating through uncertainty
The ability to transform complex datasets to clear and actionable insights that can be presented to non-technical stakeholders
Good knowledge of data-querying using SQL
Experience in data visualization, preferably with good knowledge of Power BI
Preferably familiar with Python and R
Fluency in English, both spoken and written

It is a benefit if you have one or more of the following:
Experience with Azure Tech Stack
Experience of agile development methodologies
Experience in supply chain, retail and/or stock management

Our journey will lead to something new and exciting - we will test, fail and learn. You are an important player in this transformation.




Additional Information


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 your true self and develop. You’ll be part of an important product 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.
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 a short motivation as soon as possible, no later than 28th of February. If you have any questions about the role or the recruitment process, please contact Natalie Stenvall (Product Owner for Core Allocation) or Talent Acquisition Partner, Marta Wieczorek . For more general questions on the role of Data Analyst, please contact Niklas Koy (Hiring Manager).