Data Analyst to Predictive Analytics team @H&M Business Tech
H & M Hennes & Mauritz Gbc AB / Elektronikjobb / Stockholm
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H&M Group Business Tech is established to take the lead in changing the fashion industry completely, combining business and technology with innovation to create new business and customer value. We want to release the power of people and believe the best ideas evolve when great minds with different perspectives meet. We believe in our people, and always encourage new ideas and initiatives... Are you up for a challenge? Do you continuously want to surprise and delight our customers?
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 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!
We are now looking for a Data Analyst to the Predictive Analytics team. This team is new, but the ambition is sky high: to shape the future of H&M's online allocation process and hence being able to predict how we can have the right online stock, at the right supply chain node and in the correct quantity. By doing this, H&M will further meet our customers' expectations, regardless of where our customers are or how they want to get access to H&M's products.
So, are you a data analyst who wants to understand, analyze, and explain how AI powered demand forecasts should interact with stock levels and lead times? Are you a person who wants to investigate how a supply chain network could be optimized to maximize sales while also securing a low carbon footprint? Are you a person who can visualize the impact we create for our stakeholders? This role is then for you.
About the role
As a Data Analyst in Predictive Analytics team you will work in a cross-functional, multi-competence product team consisting of Data Scientists, Software Engineers and Business Experts. Your mission is to support the team with data as well as business analyses to ensure the product's progress and its ability to deliver positive impact for our customers and the business.
About the product
Our product is aiming to create a world class online allocation process that can forecast, simulate, and steer H&Ms assortment to the best online location given H&Ms customer demand and delivery expectations. We set the scope, development and operations focuses of our product and are a key part in H&M's supply chain.
Your Responsibilities
• Support in industrializing the product's pilots: secure scale up, improve process, improve follow up, change communication with stakeholders etc.
• Advocate data-driven decision making through for example experimentation, other quantitative analysis and bringing different data points together
• Be one of the go-to and driving persons for analysis within the product
• Establish actionable KPIs and reporting for the product that present the what, why and points towards how to improve
• Be a part of the team! Set the roadmap and strategy for the product together with the team, using your data-driven insights
Qualifications
We are looking for you with
• 2+ yrs. work experience related to data analytics and product development, preferably within retail, supply chain or similar
• A strong motivation to work in an environment that allows you to work and take decisions independently
• Experience of - and/or high interest in - working with advanced analytics and AI or forecasting methodologies
• 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
• Experience working with different people, stakeholders and touch points where the way forward is not always clear
• The ability to transform and communicate your insights to an understandable format for a variety of stakeholders
• Good knowledge of data-querying using SQL
• Experience in data visualization, preferably with excellent knowledge of Power BI
• Familiar with, or ambition to learn Python
• Familiar with, or ambition to learn Azure Databricks
• Fluency in English, both spoken and written
It is a benefit if you have one or more of the following:
• 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; therefore, we believe you are flexible, stress-resistant and able to work in an environment that is not yet formalized.
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 yourself 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. 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 a short motivation 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,
amanda.johansson2@hm.com. For more general questions on the role of Data Analyst, please contact Tech Competence Manager - Niklas Koy.
This a rare opportunity to join a product which is building a new global solution for H&Ms future of supply chain. Apply now!
Publiceringsdatum2022-04-22Så ansöker duSista dag att ansöka är 2022-05-22
Klicka på denna länk för att göra din ansökanAdressH & M Hennes & Mauritz Gbc AB
Årstaängsvägen 13
10638 Stockholm
Omfattning Detta är ett heltidsjobb.
Arbetsgivare H & M Hennes & Mauritz Gbc AB (org.nr 556070-1715)
Årstaängsvägen 13 (
visa karta)
106 38 STOCKHOLM
Arbetsplats IT-Avdelning
Jobbnummer 6564967
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