Data analyst to H&M Business Tech - Payments area

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 role
As a Data Analyst in the Customer Domain (BT), and as a part of a product team with E2E responsibility, you will work as a key enabler to secure realization of business and customer value from analytics, data and models in our customer centric products. You have a strong customer focus, a commercial mindset and innate curiosity, you keep the customer at heart, and you love making data talk! At HM 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.
Some of your main responsibilities & tasks will include:
Help define and set up measurable KPI’s and OKRs for your product team, own and maintain their visualization
Be the go-to person in the data teams for data knowledge
Support the product needs both with long term analytical needs (e.g. recurring reports) and adhoc analysis
Work with multiple advanced analytics tools to analyze, execute and follow up initiatives from idea to industrialization.
Be the driver for data driven decision making by enabling data visibility and educating the different stakeholders
Convert different forms of data into common language in order to guide the product team
Work as a part of an agile product team to support product development and help showcase their value
Use SQL and other analytical tools to dive deep into the data lake
Participate in the wider analytics community, both within the customer domain and the wider H&M group!

Who are we?
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 grow 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.
Qualifications
Just like everyone at H&M, we believe you are a sales-minded, social, open, communicative, and ambitious team player full of drive and optimism. You have a robust analytical ability with an eye for change and improvement opportunities.
Academic degree within Business Administration, Economics, Engineering (or similar)
Previous experience within payments product areas within ecommerce, retail, fashion or other dynamic industries is a plus
Atleast 4 years of experience from customer analysis, product/business analysis
Experience in working with analytical programming languages such as SQL/R/Python.
Experience in working with data visualization tools e.g. Power BI, Tableau, QlikView, Data Studio, Amplitude, Looker
Understanding of using numerical, statistical and analytical methods to apply to data processing. ​
Demonstrated ability to analyze large amounts of data into clear insights.
Ability to work with multiple stakeholders across different competences (PM, Developers, Designers, etc.)
Strong communication skills and an ability to communicate and explain data and its implications to various stakeholders​.
Be comfortable with working within a large matrix organization.
Ability to define and align assignments with the strategic goals of the business. ​
Analytical mindset with strong problem-solving skills.
Experience and/or interest in technical product development. ​
Fluent in English (written and spoken)

Additional Information
Sounds interesting?
Send us your application with CV and cover letter. Last day of application is 2022-02-28 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 shriti.shetty@hm.com
We do not accept applications through email