Do you want to shape the future of AI and analytics at H&M? Are you passionate about data and how it can support better business decisions? Then you might be our next Data Analyst!

We are looking for a Data Analyst in our AI Foundation product area within the Business Tech organization.

As a Data Analyst, you will work in a cross-functional product team with focus on creating AI solutions for transforming how we work at H&M. Each product team consists of Data Scientists, Engineers, Business Experts, and other Data Analysts.

Your mission is to support the team with analyses based on business- and product-related data to ensure our AI products are generating actionable and valuable output for our business. This includes for example analyses on prediction models and optimization engines in combination with business-related data on sales and supply chain. Furthermore, you will work closely with Data Scientists and Engineers to take your work from the analysis-stage to fully implemented AI software solutions.

You will be responsible for leading specific development projects within the team and also work closely with the team’s Product Owner, to support in defining the product roadmap through your data-driven insights. 

This also includes:

• Analyze and design AI solutions together with business stakeholders and the product team to maximize business impact
• Analyze and verify model output and work with Data Scientists and Engineers to improve accuracy of models
• Pressure-test algorithms from a business perspective and develop business cases
• Lead and coordinate the development work for various topics within your product
• Lead and participate in agile ceremonies
• Be an active voice for constant improvement in ways of working within the team
• Support in setting the roadmap and strategy for the product team, together with the Product Owner

• Relevant academic degree within Business, Statistics or Engineering
• At least 2 years of relevant work experience in a position requiring strong analytical skills
• Experience of – and/or high interest in - working with advanced analytics and AI
• Experience from working with advanced analytics tools and technologies (e.g. Tableau, PowerBI, SQL, Python)
• Proven track record of delivering great results
• Excellent communication skills in writing, speaking, and presenting
• Strong in prioritization, execution, and following up together with a “can-do attitude”
• Motivated by an environment that allows you to work and take decisions independently
• Familiar with agile development methodologies
• Fluent in English, both written and verbal

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 ever changing.

This is a full-time position with placement in Stockholm. You will report to the Managers for Data Analysts within AI Foundation. 

Please apply with your CV as soon as possible but no later than 20-Sep. Due to GDPR, we don’t accept cover letters and applications via email. 

What we offer  
Besides the obvious perks such as staff discount card, flexible work life, learning communities, wellness benefits, parental benefits etc. you are joining a unique value driven culture, a large tech network and community where you can be yourself. There are endless opportunities to experiment and grow in any direction that you want and when you grow, we grow. Being a major player gives us countless opportunities to make a real impact and shape the future.   

We are looking forward to your application!

Shaping the future of fashion with people, data, and tech - The fashion and retail industries are going through a transformation, driven by customers technology and sustainability expectations. At H&M Group, we want to shape the future of retail by harnessing the power of smart tech and data. With our 74-year history of innovation, we understand the need to collaborate and co-create with engineers and tech specialists around the world to achieve our vision.