WHAT YOU'LL DO
As a Senior Data Analyst, you will play a key role in helping H&M make better decisions through data. You will work closely with business stakeholders, product teams, engineers and fellow data professionals to turn complex questions into actionable insights that drive measurable business impact.
You will lead analytical initiatives from problem definition through delivery, combining technical expertise with strong business understanding and stakeholder engagement.
Lead end-to-end analytical projects and initiatives that support strategic business goals
Translate complex business challenges into structured analytical approaches and recommendations
Define, measure and follow up on KPIs to support product, business and customer outcomes
Explore and analyse large datasets to identify opportunities, risks and trends
Deliver insights and recommendations that influence decision-making at different levels of the organisation
Partner closely with stakeholders to understand needs, challenge assumptions and identify new data opportunities
Contribute to the development of data products, reporting solutions and analytical frameworks
Promote best practices in analytics, data storytelling and insight generation
Mentor and support other analysts while contributing to a strong data community
WHO YOU'LL WORK WITH
You will collaborate with a broad network of stakeholders across H&M, including Product Managers, Business Experts, Engineers, Data Scientists, Data Engineers, business leaders and other analysts.
As a trusted partner, you will help teams across functions use data to make informed decisions and deliver value for customers and colleagues.
WHO YOU ARE
We are looking for people with…
Several years of experience in data analytics, business analytics or a similar field
Strong SQL skills and experience working with large and complex datasets
Experience with Python, R or similar analytical programming languages
Experience with data visualisation tools such as Power BI
Strong knowledge of statistics and analytical methodologies
Experience translating business requirements into analytical solutions
Experience defining and measuring KPIs and performance metrics
Experience leading analytical initiatives and working independently in complex environments
A degree in Statistics, Engineering, Business, Economics or a related field, or equivalent practical experience
And people who are…
Curious and motivated by solving challenging business problems
Strong communicators who can adapt their message to both technical and non-technical audiences
Comfortable influencing and advising stakeholders at different organisational levels
Proactive and able to identify opportunities before they are formally requested
WHO WE ARE
H&M Group is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design, affordable prices and sustainable solutions. We want to liberate fashion for the many, and our customers are at the heart of every decision we make.
We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together, we want to use our power, our scale and our knowledge to push the fashion industry towards a more inclusive and sustainable future
WHY YOU'LL LOVE WORKING HERE
At H&M Group, we are proud to be a vibrant and welcoming company. We offer our employees attractive benefits with extensive development opportunities around the globe.
The opportunity to solve meaningful business challenges using data and analytics
A collaborative environment where your insights can influence strategic decisions
Access to modern data platforms, tools and technologies
Opportunities to learn, grow and develop your career within H&M Group
A culture built on collaboration, inclusion, innovation and continuous improvement
JOIN US
Our uniqueness comes from a combination of many things: our inclusive and collaborative culture, our strong values and opportunities for growth. But most of all, it's our people who make us who we are.
Take the next step in your career together with us. The journey starts here.
We are committed to a recruitment process that is fair, equitable and based on competency. We therefore kindly ask you not to attach a cover letter in your application.