Retail Analytics Manager

Job Description WHAT YOU’LL DO As a BI Specialist within Digital Commercial at H&M, you will play a key role in transforming digital performance data into accessible, impactful insights for commercial teams across the organization. Working close to the digital business, you will help shape and scale H&M’s digital commercial reporting toolbox by building intuitive, reliable and business-relevant BI solutions that support better, faster decisions. In this role, you combine strong technical BI skills with a genuine curiosity for digital commerce and customer behaviour. You will collaborate closely with stakeholders across global and local teams to understand their analytical needs and translate them into clear reporting solutions that help teams understand performance, identify opportunities and take relevant commercial action. To succeed in this role, you will: Build, maintain and continuously improve BI reports, dashboards and data models, primarily using Microsoft Power BI. Translate business questions into clear BI solutions across areas such as traffic, customer journey, funnel performance, conversion, product visibility and sales performance. Transform large and complex datasets into user-friendly visualizations, data stories and actionable insights. Collaborate with commercial stakeholders, analysts and data teams to ensure reporting solutions are accurate, scalable and business-relevant. Contribute to modernizing H&M’s digital commercial reporting toolbox, including exploring how AI-supported capabilities can improve reporting and decision support. WHO YOU’LL WORK WITH You will be part of the Digital Commercial team, working closely with global and local commercial stakeholders, analysts, data teams and digital functions. The team’s mission is to enable stronger digital commercial performance by making insights more accessible, actionable and connected to business decisions. The role reports to the Digital Commercial Manager. WHO YOU ARE We are looking for people with… Experience in business intelligence, analytics, digital reporting or a similar role, in-house or as a consultant. Strong skills in Power BI or similar BI tools, including data modelling and visualization. Good knowledge of SQL for querying, transforming and validating data. A genuine interest in creating business value through data, analytics and digital commerce. Strong communication skills and the ability to translate business needs into scalable BI solutions and clear data stories. Experience from digital commerce, retail, consumer goods or another B2C environment is meriting. Experience in applying AI-supported capabilities to improve BI, reporting or decision-making. This is an opportunity to help shape the next generation of digital commercial BI at H&M — moving from reporting what happened to helping teams understand what matters, where to focus and how to create value. Additional Information 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  We offer all our employees at H&M Group attractive benefits with extensive development opportunities around the globe. All our employees receive a staff discount card, usable on all our H&M Group brands in stores and online. Brands covered by the discount are H&M (Beauty and Move included), COS, Weekday, Monki, H&M HOME, & Other Stories, ARKET. In addition to our staff discount, all our employees are included in our H&M Incentive Program – HIP. You can read more about our H&M Incentive Program here. In addition to our global benefits, all our local markets offer different competitive perks and benefits. Please note that they may differ between employment type and countries. 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 to not attach a cover letter in your application.

Job Description WHAT YOU WILL DO As a Labor Demand Expert, you own the logic that translates store demand signals into labour hours. You build and continuously improve the global labour demand model, ensuring labour allocation is data‑driven, fair and aligned with both commercial and operational realities across store types and markets. You will: Own and develop the end‑to‑end labour demand model, translating demand signals into task frequencies and labour hours Ensure the model reflects real store activity patterns and evolves with changes in customer behaviour, omnichannel flows and operating models Define, document and maintain assumptions, scaling rules and calculation logic in a clear and structured way Build logic for daily, weekly and seasonal variation, including store‑type and size scaling factors Support scenario modelling to assess labour impacts of new store formats, omnichannel initiatives and process changes Act as a subject matter expert on labour demand logic, providing guidance to both technical and non‑technical stakeholders WHO YOU WILL WORK WITH You will work closely with Controlling, Operations Development, Tech and Workforce Management teams, as well as global teams and Sales Markets. In this role, you partner cross‑functionally to ensure labour demand logic is well understood, consistently applied and fit for scale. WHO YOU ARE You are an analytical and structured problem‑solver who is comfortable working with complex models and translating them into clear, practical insights. We are looking for people with: Experience in retail forecasting, workforce management, labour planning or commercial analytics Strong analytical and modelling skills, with the ability to work with complex data sets Experience translating complex models and assumptions into clear, practical guidance A solid understanding of retail operational drivers such as traffic, deliveries, transactions and omnichannel flows Strong documentation skills and a high attention to detail Fluency in English, both written and spoken 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. Read more about us here. 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. An example of our benefits: 25% Staff discount on all our H&M Group brands both in stores and online (H&M, COS, Weekday, Monki, H&M HOME, & Other Stories and ARKET). H&M Incentive Programme – HIP. Learn more about the programme here. 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. This is a permanent position based in Stockholm, please send your CV in English as soon as possible. *We are committed to a recruitment process that is fair, equitable, and based on competency. We therefore kindly ask you to not attach a cover letter in your application