Competence Lead Data Analyst for Payments @H&M Business Tech

Competence Lead Data Analyst for Payments @H&M Business Tech


Company Description

H&M 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

The Competence Lead / Data analyst role has a dual focus – staff responsibility and delivery. As a Competence Lead you will have staff responsibility for employees within the same/adjacent competence as your own, working in different product teams. Your staff responsibility goes across different Product Teams and tasks include competence specific conversations, salary review and other staff related activities. You will support, coach and help your team members grow and develop.
As a competence lead you will work with product area managers, product owners, and other competence leads to secure the right competences and skillsets across the Data Analyst community. You will collaborate with stakeholders in other product teams/areas and enabling functions and build a broad network within Business Tech. You will be able to try out your creative and innovative ideas – and have a large impact on how we shape the future of fashion retail analytics.
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 H&M Business tech you will get the opportunity to work in a large data analyst community and in an organization, which heavily relies on making data driven decisions. We have over 1 billion customers with 130 million members in 70 different markets along with 8 unique brands in a fast-paced, ever-changing retail industry.
As a Data Analyst within the Payment Area, you will also work more in depth with:
· Monitor and analyze sales, payment patterns and other KPIs on a running basis.
· Cooperate and collect important data from other parts of H&M to follow up on customer behavior and payment patterns.
· Follow up of business cases for new payment methods globally.
· Initiate discussions about different actions to be taken based on analysis related to sales/cost/budget.


To be successful in this role we believe you are equally passionate about being a leader, supporting, coaching and helping your team members grow, while having a keen analytical ability with an eye for change and improvement opportunities.
· Previous experience from leadership and staff responsibility
· The ability to coach others in a way that enables them to grow professionally and to increase their performance.
· The ability to engage people in high achievements and support them by creating conditions for personal growth.
· Academic degree within Business Administration, Economics, Engineering (or similar)
· At least 5 years of experience from digital analysis, product/business analysis or controlling
· Experience in working with programming languages such as SQL, R, or Python.
· Experience in working with data visualization tools e.g. Power BI, Tableau, QlikView, Data Studio.
· Understanding of using numerical, statistical and analytical methods to apply to data processing. ​
· Experience in working with payments and online or store checkout is an advantage.

Additional Information

Sounds interesting?
Send us your application with CV and cover letter. Last day of application is 2021-12-19 but we look forward to receiving your application as soon as possible.
For questions regarding the position please send an email to talent acquisition specialist
We do not accept applications through email


  • Arbetsplats: H&M Group STOCKHOLM
  • 1 plats
  • Tills vidare
  • Heltid
  • Fast månads- vecko- eller timlön
  • Publicerat: 29 november 2021
  • Ansök senast: 19 december 2021


Liljeholmsstranden 5

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