Senior Data Analyst - Analytics & BI
Workplace: Stockholm, Sweden
Expires: June 19, 2025
As a Senior Data Analyst within the Analytics & BI team at H&M Group, you will play a key role in shaping the future of the Commercial Development & Growth function. You'll work closely with stakeholders across the organization to drive strategic initiatives and address important topics. This full-time permanent position is based in Stockholm, Sweden, and requires a proactive, collaborative, and business-savvy individual skilled in leading analytical projects and translating complex data into actionable insights.
Main requirements:
- Degree in a quantitative field such as engineering, business, economics, finance, or statistics
- At least 5 years of experience in data, insight, or business analyst roles
- Proven ability to lead and deliver end-to-end analytical projects that drive business impact
- Experience translating complex business questions into structured analysis plans and actionable insights
- Experience working with SQL to extract and transform data from large and complex datasets
- Experience using R or Python for further data analysis
Responsibilities:
- Work with stakeholders within Commercial Development & Growth to understand their analytical needs
- Lead and execute end-to-end analytical projects focused on retail strategy, store and online growth, customer behaviour, and store planning
- Translate complex business questions into structured analysis plans leveraging large datasets
- Perform ad-hoc analyses to support urgent business decisions
- Contribute to best practices, analytical frameworks, and ways of working within the Analytics & BI team
Required hard skills:
- SQL
- R or Python
- Data extraction and transformation
- Advanced data analysis
- Analytical project leadership
Recommended hard skills:
- Business intelligence tools
- Statistical analysis
Soft skills:
- Strong communication and stakeholder influence
- Business savvy and commercial insight
- Proactive and self-driven
- Ability to manage multiple priorities independently
- Collaborative team player
- Passion for growth, innovation, and customer value
Coding languages:
- SQL
- R
- Python
Natural languages:
- English (Proficient)
Cultural skills:
- Alignment with H&M values
- Sustainability mindset
- Innovation orientation
- Customer-centric focus