Senior Data Analyst for Analytics & AI product team

Senior Data Analyst for Analytics & AI product team

Arbetsbeskrivning

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 behaviour are transforming the fashion retail industry.
To cater to 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 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.
There are endless opportunities to grow, regardless of whether you are interested in developing functional depth or business acumen. Just let your skills, ambition and imagination drive you.




Job Description


We are now looking for a Data Analyst in our new organization Business Tech – in the product area Fulfilment Center Operations within the Customer Fulfilment domain. In the product, Analytics & AI, our aim is to enable even better decision making across the organization with the power of data and insights. As a Data Analyst, you will work in a cross-functional, multi-competence product team. Your mission is to support the team with data as well as business analyses to ensure AI -and software solutions are generating actionable and value-enhancing results for our customers and business.
Your insights will drive AI supply chain logics that will direct our products from warehouse to end customer in the most efficient and sustainable way possible. You have a strong customer focus, a strong commercial mindset and innate curiosity. You will work with multiple advanced analytics tools to analyse, execute and follow up initiatives from idea to industrialization with both analysis of model output and designing of new ways of working. 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.
As a Data Analyst at H&M Group Business Tech, 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
Empower stakeholders to improve the customer value through expert analyses of various types of customer data.
Advocate data-driven decision making through for example experimentation and other quantitative analysis.
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
Pressure-test algorithms from a business logic perspective and develop value-proofs/ business cases
Design new ways of working and support roll-out to the organisation
Be part of designing AI solutions together with business stakeholders and the product team to maximize business impact
Lead specific development topics, as well as specific agile ceremonies
Support the Product Owner in setting the roadmap and strategy for the product team through data-driven insights





Qualifications


An analytical, creative and curious mindset in combination with a strong foundation in statistical methods and data processing
Excellent communication skills with the ability to explain data and its implications to various stakeholders
The ability to analyse large amounts of data into clear insights
The ability to translate business requirements into analytical requirements
A Bachelor’s or Master’s degree (or equivalent) in Business, Business Engineering, Economics, Data Analytics, Data Science or similar
3-5 years of work experience as a business analyst, data analyst, controller (or equivalent) preferably within retail, supply chain or similar
Good knowledge of data-querying using SQL
Experience in data visualization, preferably with excellent knowledge of Power BI or Tableau as well as Microsoft Excel
Proficiency in Python or R preferably
Proficiency in Azure
Strong in prioritisation, execution, and follow-up skills together with a “can-do attitude”
A strong motivation to work in an environment that allows you to work and take decisions independently
A strong customer focus and commercial mindset
Fluency in English, both spoken and written

It is a big plus if you have one or more of the following:
Experience in SAP
Agile methods and DevOps

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 formalised.
What we can offer
At H&M we have a strong, value-driven culture characterised 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.




Additional Information


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 26th of February.
We are looking forward to your application!

Sammanfattning

  • Arbetsplats: H&M IT-Avdelning Stockholm
  • 1 plats
  • Tillsvidare
  • Heltid
  • Fast månads- vecko- eller timlön
  • Publicerat: 10 februari 2021
  • Ansök senast: 12 mars 2021

Postadress

Årstaängsvägen 13
Stockholm, 10638

Liknande jobb


Senior Digital Analyst

Senior Digital Analyst

18 november 2024

14 november 2024

8 november 2024

IT Analyst

IT Analyst

4 november 2024