We are seeking 2x Data Analyst to lead and coordinate analytical initiatives across one of our Areas within Commercial. This role involves driving the full analytical lifecycle—from hypothesis development through data analysis to actionable insights and strategic recommendations while ensuring data quality, accessibility, and reliability throughout the process.
WHAT YOU’LL DO
- Partner with Product Managers and stakeholders to shape product strategies and prioritize initiatives through data-informed insights.
- Drive customer-centricity by analyzing behavioral, commercial, and product performance data to enhance the digital experience.
- Define and monitor key KPIs and implement event tracking to evaluate product performance and ensure alignment with intended outcomes.
- Lead the development of business cases by integrating commercial, digital, and user behavior insights.
- Promote a data-driven culture by enhancing data visibility, educating stakeholders, and translating complex data into actionable narratives.
- Write efficient SQL and code to query, aggregate, and transform large datasets with high data quality.
- Use tools such as BigQuery, Looker, and Power BI to explore, visualize, and communicate insights.
- Actively contribute to the analytics community within the Commercial domain and across the H&M Group.
WHO YOU’LL WORK WITH
You’ll join a global, cross-functional team committed to delivering exceptional digital experiences through close collaboration, user-centric design, and continuous iteration. The team brings together diverse expertise across Product Design, Analytics, and Engineering, and partners closely with other product teams within the global digital experience organization, as well as key business stakeholders.
WHO YOU ARE
We are looking for people with…
- Experience from product or business analysis, customer or commercial analytics, management consulting, or data engineering
- Strong experience with SQL, proficiency in Python is a plus
- Previous experience with cloud analytics environments such as Databricks or GCP
- Previous experience within ecommerce, retail, fashion or tech product driven companies
- Academic degree within Business Administration, Economics, Engineering (or similar)
- Experience in working with data visualization tools e.g. Power BI, Tableau, Google Data Studio, Looker Studio, etc
- Demonstrated ability to synthesize large amounts of data into clear insights
- Ability to work with multiple stakeholders across different competences (Commercial Leads, eCommerce Managers, Product Managers, Developers, Designers, Data Engineers, etc.)
- Be comfortable with working within a large matrix organization
And people who have…
- Experience working in agile, iterative product development environments
- A proactive, ownership-driven attitude with the ability to manage ambiguity and adapt quickly to change
- Curiosity and a continuous improvement mindset—always looking for ways to enhance the product and the team’s ways of working
Please note: The role is based in Stockholm and we value close collaboration, with an expectation to work from office 4-days per week.
To be considered for this position, you must have an existing right to work in Sweden, as we are unfortunately unable to offer relocation support or visa sponsorship for this role.