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? 

As a Data Analyst, you will work together in a team of Data Analysts to support the product teams within the unit. You will work closely with the Product Managers, Engineers, Business Experts, and Product Designers to create value from data while working towards the goal of improving our platforms and systems. 

You will work with multiple complex data sources, prepare data, aggregate, and transform both structured & unstructured data. You will create analysis, build reporting tools and dashboards, and products around data, while securing the realization of business value from data. 

Our team is part of the Consumer & Sales Unit, a global cross-functional and customer-centric function within the H&M Brand tech team. Our focus is to deliver platforms and systems that enable an outstanding customer experience. 

Responsibilities: 

• Define and set-up measurable KPI’s on different levels of granularity and maintain their visualization by creating and maintaining intuitive dashboards 

• Data prep: get the data from multiple complex data sources (APIs, databases, etc.)​, clean and transform the data, develop data flows 

• Combine, explore, and draw valuable insights from data. Work with large and complex data assets from different parts of the business 

• Identify and interpret trends and patterns in complex data sets to enable the business to take data-driven decisions 

• Empower stakeholders to improve the customer value through expert analysis of various types of data 

• Advocate data-driven decision making through experimentation and other quantitative analysis 

• Pressure-test algorithms from a business logic perspective and develop value-proofs / business cases​ 

• Provide data insights for technical solutions and system improvements to improve the customer experience 

• 4+ years of experience working as a Data Analyst, preferably in a product team setting 

• Academic degree within Engineering, Statistics, Mathematics or similar 

• Experience working within ecommerce, preferably in a multi-channel retail setting. Experience working with payment & checkout solutions is a plus.

• Ability to work with large and complex data sets. Excellent SQL & Python skills 

• Experience using numerical, statistical, and analytical methods to apply to data processing 

• Ability to communicate and explain data and its implications to various stakeholders 

• Ability to analyze large amounts of data into clear insights 

• Ability to translate business requirements into analytical requirements 

• Strong experience and/or interest in technical product development​ 

• Ability to align assignments with the strategic goals of the business ​ 

• Ability to define visions, strategies, and goals 

• Ability to advise the business in the best solution from both a business and technical perspective 

• Strong customer focus, commercial mindset and innate curiosity​ 

• Fluent in English (written and spoken)

This is a fulltime position based in Stockholm. 

Please apply with a CV as soon as possible. As a part of the process, you may be asked to complete case studies connected to data, analytics & reporting. Interviews will be held continuously.