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Business Intelligence Analyst
2 months ago
About H&M Group
H&M Group is one of the world's largest fashion companies, with a mission to make sustainable lifestyle an option for the many. We're a family of brands driven by our passion for fashion, design, and customer satisfaction.
Job Summary
We're seeking a skilled Business Analyst to join our team in Stockholm. As a Business Analyst, you'll play a key role in driving data-driven decision making, identifying opportunities for improvement, and developing analytical tools to support our merchandising teams.
Key Responsibilities
- Develop and maintain data models to identify areas for improvement in merchandising operations
- Design and implement analytical tools to support data-driven decision making
- Upskill merchandising teams on data analysis and visualization
- Ensure high-quality output of analytical tools
- Align developments with commercial priorities and customer needs
- Forecast future business analytical needs and drive development with stakeholders
- Contribute to the development of our data strategy
Requirements
- Experience with large data sets, data visualization, and data modeling in Power BI and Microsoft Excel
- Working proficiency in SQL or DAX
- Genuine interest in creating business value with data
- Ability to see the bigger picture and attention to detail
- Great team spirit and dynamic work environment
- Excellent communication skills to explain technical concepts to non-technical audiences
- Creative, curious, and solution-oriented mindset
About Us
H&M Group is committed to creating a diverse and inclusive environment. We welcome applications from qualified candidates irrespective of race, gender, gender identity, sexual orientation, ethnicity, religion, national origin, disability, or age.
What We Offer
We offer a range of benefits, including staff discount card, learning communities, wellness benefits, parental benefits, and flexible work-life balance. We're committed to helping you grow and develop in your career.
How to Apply
If you're passionate about data-driven decision making and want to join a dynamic team, please submit your CV in English. We'll review and interview applicants continuously.
