Data Analytics Manager to H&M Business Tech – AIAD

Company Description

H&M Group’s Tech Organization 

Rapid technological development is transforming the fashion retail industry. From AI to data-driven business development, user experience to engineering, we turn business challenges into innovative tech solutions – making H&M Group a global leader in combining tech, fashion, and design. 

The H&M Group’s Tech organization created a completely new product organization where 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.  The team aims to continuously surprise and delight our customers and accelerate our business – by releasing the power of people, data and technology.  To cater to the individual needs and desires of our millions of customers, Business Tech will deliver technological solutions for the entire value chain for all our brands.

Learn more about H&M: Learn more about H&M | H&M Careers (hm.com) 

Job Description

The Data Analytics Manager role has a dual focus – staff responsibility and strategic contribution to Product Data Analytics management initiatives. As an DA manager you will have staff responsibility for Data Analysts within the AIAD (AI, Advanced Analytics &Data) tech center product teams. Your staff responsibility goes across different Product Teams and tasks include guiding your team on competence specific conversations, supporting resource allocation, helping build & improve WoW with Data Analytics. You will support, coach and help your team members grow and develop. 

As an DA Manager you will work with product managers, program managers, and other EMs 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 analytics across the fashion retail value chain.

You have a strong customer focus, a commercial mindset and innate curiosity. At H&M AIAD you will get the opportunity to work as part of a large data analyst community and in an organization, which heavily relies on making data driven decisions.

Qualifications

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 Engineering, Business Administration, Economics or similar. 
• At least 5-7 years of experience from data analysis, product/business analysis or similar.
• Experience in working with programming/querying languages such as SQL, R or Python. 
• Experience in working with data visualization tools e.g. Power BI, Tableau or Looker. 
• Good understanding of using numerical, statistical and analytical methods to apply to data processing. ​
• Great business acumen to be able to guide the Data Analyst team on the value contribution to the success of H&M.

Having a strong desire to set and work with processes and constant improvements in everything you do.

Additional Information

This is a full-time permanent role based in Stockholm.

If you feel that your experience, skills and ambitions are right for this role, please send your resume in English by May 15. Due to GDPR, we do not accept cover letters and applications via email. 

We look forward to receiving your application!

H&M is committed to creating a Diverse & Inclusive environment and we are actively looking for qualified candidates irrespective of race, gender, gender identity, sexual orientation, ethnicity, religion, national origin, disability or age