Senior Data Analyst

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.