Job Description

WHAT YOU’LL DO

Join the Supply Chain organization and play a key role in the In-Season Optimisation area. You’ll work with Gen-AI technologies and leverage SQL, programming tools, and BI best practices to deliver actionable insights and optimize product performance. You will:

Translate business processes and objectives into data-driven insights, helping the organization understand performance and make strategic decisions throughout the value chain.

Support the analysis and optimization of digital fulfilment flows, ensuring efficient inventory utilization, order sourcing, and customer delivery across the value chain.

Understand how cross-functional initiatives and programs impact what we do and the decisions we make.

Translate large volumes of data into actionable insights that guide strategic decisions across fashion retail and e-commerce.

Define, monitor, and visualize key KPIs to drive transparency and measure success.

Lead data modelling conversations to ensure optimal data structures and model performance within your product area.

Act as the go-to analytics expert within your business and product team, collaborating end-to-end on data-driven business development, value realization and business case validation.

WHO YOU’LL WORK WITH

You’ll be part of a truly international and cross-functional team, working closely with Business Process Leads, Data Scientists, Business Experts, and Product Managers. Collaboration is at the heart of what we do; our team brings together diverse backgrounds and perspectives to solve complex challenges and create real value for millions of customers across global markets. We work in an agile setup that encourages experimentation, continuous learning, and open dialogue.

WHO YOU ARE

We are looking for people with…

A degree in Economics, Business, Supply Chain, Mathematics, Engineering, or a related field.
Experience in analytics roles within retail, fashion, or tech-driven companies, ideally linked to product or business development., with the focus on Supply Chain.
Proficient in SQL, Python, or R. Experience using modern data tools such as Git, Dataform and dbt is a plus.
A solid understanding of analytical methods applied to real-world data problems.
Experience using data visualization tools, e.g. Power BI or similar tools.

And people who are…

Strategic thinkers with a strong analytical mindset and a passion for solving complex problems.
Clear communicators who can transform data into compelling stories and practical recommendations.
Team players who thrive in collaborative, agile environments and are comfortable working with a range of stakeholders.

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.

We offer all our employee’s attractive benefits with extensive development opportunities around the globe. All our employees receive a 25% staff discount usable on all our H&M Group brands in stores and online. 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.

30 days holiday
We offer a collective agreement which includes pension and life insurance
H&M Incentive Program
Wellness benefit 4000kr/year
Benifex Benefits Portal
Community with activities

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.

Role

Data Analyst

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Dataanalytiker

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