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
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