Senior Data Analyst Analytics Engineering
Workplace: STOCKHOLM, Sverige
Expires: August 30, 2025
As a Senior Data Analyst focused on Analytics Engineering at H&M, you will empower teams to make data-informed decisions by driving best practices, fostering data literacy, mentoring, and developing scalable data solutions. The role requires autonomy, initiative, and the ability to navigate complex cross-functional environments to improve data capabilities and promote continuous learning and innovation.
Main requirements:
  • Bachelor's degree in Statistics, Engineering, Computer Science, or related field
  • High proficiency in SQL
  • Strong skills in data visualization tools (e.g., PowerBI)
  • Solid understanding of data modeling principles
  • Knowledge of data warehousing concepts and technologies
  • Familiarity with cloud platforms (AWS, Azure, Google Cloud)
  • Experience with data transformation tools such as dbt
  • Proficiency in programming languages such as Python or R
  • Experience with version control systems like Git
  • Strong pedagogical and communication skills
  • Proven mentoring and upskilling experience
Responsibilities:
  • Champion best practices in data modeling, analytics, and reporting
  • Identify opportunities to improve data literacy and analytical capabilities
  • Lead development of reusable data assets, templates, and frameworks
  • Collaborate with cross-functional teams to address data needs
  • Design and deliver training sessions, workshops, and documentation
  • Monitor adoption and performance of data solutions, iterate based on feedback
  • Stay current with emerging data and analytics technologies
  • Mentor colleagues to foster knowledge sharing and continuous improvement
  • Lead strategic data initiatives aligned with business goals
Required hard skills:
  • SQL
  • Data visualization (PowerBI)
  • Data modeling
  • Data warehousing
  • Cloud platforms (AWS, Azure, Google Cloud)
  • Data transformation tools (dbt)
  • Programming languages (Python or R)
  • Version control (Git)
Soft skills:
  • Pedagogical skills
  • Communication skills
  • Mentoring skills
  • Autonomy
  • Initiative
  • Cross-functional collaboration
  • Strategic prioritization
Coding languages:
  • SQL
  • Python
  • R
Frameworks:
  • dbt
Natural languages:
  • English (Proficient)
Cultural skills:
  • Data literacy promotion
  • Knowledge sharing culture
  • Continuous learning
  • Innovation