H&M Group is on a journey to meet and exceed our customers' expectations today and tomorrow. Through collaboration, innovation, and technology we challenge ourselves and the industry. To cater to the individual needs and desires of our millions of customers, our tech organisation delivers solutions for the entire value chain for all our brands.    

We are accelerating digitalisation and to stay relevant, we need to ensure we have strong leaders in place to bring our best capabilities, innovation ideas and talented technologists to support the transformation of H&M Group.

A Data Analyst is a key enabler to secure realization of business value from analytics, data and models. You serve as a gatekeeper for an organization's data so stakeholders can understand data and use it to make strategic business decisions. This is a technical role that requires a degree in analytics, computer modeling, science, or math. You work with multiple advanced analytics tools initiatives to analyze, visualize, execute and follow up initiatives from idea to industrialization with both analysis of model output and designing of new ways of working. ​As a Data Analyst, you are focused on value creation and growth by making data accessible to the organization, thus enabling excellent customer experience and business results. 

Responsibilities:

• With high customer and consumer centricity, empower stakeholders to improve the customer value through expert analysis of various types of customer data.​
• Manage project delivery, planning and steering to ensure that the delivery is effective and anchored to value
• Ensure product development and management
• Handle project and product risk and issue management
• Advocate data-driven decision making through for example experimentation and other quantitative analysis.​
• Design advanced analytics solutions together with business stakeholders and product/analytics teams to maximize impact; function as the link and catalyst​
• Ensure assurance, audit, compliance and testing related to cyber security issues
• Secure incident management, investigation and digital forensics
• Handle security governance and management, as well as threat assessment and information risk management
• Pressure-test algorithms from a business logic perspective and develop value-proofs/ business cases​
• Support in analysis and verification of model output and work with data scientists to improve accuracy of model​
• Design new ways of working and support roll-out to the organization​
• Identify commercial opportunities leveraging data and models.​
• Analyze data using the latest web analytics and business intelligence techniques ​
• Develop calculation mechanisms to Ensure real-time data collection of customer behavior ​
• Provide data insights for technical solutions and system improvements to improve the customer experience based on interpretations​
• Implement tools (e.g., Power BI or web-analysis dashboards) that help data consumers to extract, analyze, and visualize data faster and better through data pipelines​

Qualifications

• Strong customer focus, commercial mindset and innate curiosity​
• Understanding of using numerical, statistical and analytical methods to apply to data processing​
• Ability to Visualize, 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​
• Ability to align assignments with the strategic goals of the business
• Ability to define visions, strategies and goals
• Ability to establish priorities with clear goals and responsibilities to achieve a high level of performance

If your experience, skills, and ambitions are right for this role, please apply with CV in English.

Please do not send applications to individual email address, due to GDPR, we only accept applications through our career page.

We look forward to receiving your application!

H&M Group 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.