Senior Data Analyst Emerging Tech
Workplace: Stockholm, Sverige
Expires: August 13, 2025
Join the Emerging Tech team at H&M Group to deliver data-driven insights shaping the future of retail. You'll analyze real-time data, communicate findings, monitor KPIs, and collaborate in a fast-paced environment focused on innovation and sustainability.
Main requirements:
  • Bachelor's degree in Statistics, Engineering, Business or related field, or equivalent experience.
  • Strong skills in SQL.
  • Experience with Python or R.
  • Familiarity with dbt is a plus.
  • Proficiency in data visualization tools such as PowerBI.
  • Solid understanding of statistics for accurate data interpretation.
  • Excellent communication skills for technical and non-technical audiences.
  • Curiosity about H&M's value chain and how data can improve it.
  • Ability to work in a fast-paced, evolving environment.
  • Collaborative mindset to work with senior, experienced team members.
  • Passion for leveraging data to make a real impact.
Responsibilities:
  • Analyze real-time data to identify trends and prioritize focus areas.
  • Drive strategic decision-making through data insights.
  • Translate complex data into actionable business insights.
  • Communicate findings clearly to diverse teams.
  • Monitor progress against OKRs and KPIs to align with goals.
  • Operate effectively in a fast-paced, high-impact environment.
  • Collaborate with senior colleagues to help team growth and rapid delivery while maintaining quality.
Required hard skills:
  • SQL
  • Python or R
  • Data visualization (PowerBI)
  • Statistics
Recommended hard skills:
  • dbt
Soft skills:
  • Excellent communication
  • Curiosity
  • Adaptability to fast-paced environments
  • Collaboration
  • Passion for data impact
Coding languages:
  • SQL
  • Python
  • R
Frameworks:
  • dbt
Natural languages:
  • English (Proficient)
Cultural skills:
  • Working in diverse multinational teams
  • Adaptability to evolving environments
  • Passion for sustainability and innovation in fashion retail