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Sista ansökningsdag 2026-04-15

Test and Learn Specialist (Marketing Analytics)

H & M Hennes & Mauritz Gbc ABVanlig anställningPublicerad 2026-03-16

Job Description As a Test & Learn Specialist, you will play a key role in driving data driven decisions across the H&M Global Marketing function, in the intersection of media, customer and loyalty strategies. You will work closely with the Test & Learn Lead to shape the global Test & Learn roadmap, ensuring the organisation understands the value generated by both strategic and tactical decisions. This role blends technical excellence with clear, concise communication. Driving decisions across media, customer, and loyalty strategies. You will work closely with the Test & Learn Lead and fellow Test & Learn Specialists to shape the global Test & Learn roadmap. WHAT YOU'LL DO In this role, you will: Lead and execute experimentation processes end-to-end, from planning and design to analysis and communication of results. Guide stakeholders on statistical best practice, contribute to the Test & Learn agenda and enhance our measurement system with experimentation driven insights. Conduct robust experiments and analyses to evaluate strategic and tactical decisions, using SQL, Python, Google BigQuery, PowerBI and other tools to analyse data, run statistical tests, and assess business impact. Visualise and present insights effectively, delivering clear and accessible experiment results to both technical and non‑technical stakeholders inside and outside H&M. Participate in and contribute to the wider analytics community within H&M Global Marketing function, helping to expand shared knowledge, tools and capabilities. WHO YOU'LL BE WORKIN WITH You will be part of the Measurement & Analytics team in the Global Marketing Function, working closely with the Test & Learn Lead and fellow Test & Learn Specialists, collaborating with teams across Media, Customer, Loyalty and the wider Marketing organisation. WHO YOU ARE We are looking for people with… A strong analytical foundation, with a bachelor’s degree in statistics, engineering, economics or a related field, plus exper

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