Job Description

WHO YOU ARE

We are looking for people who are:

• Experienced in logistics and supply chain management, ideally within retail or fashion industries.
• Knowledgeable in end-to-end supply chain operations and logistics network optimization.
• Skilled in network modelling tools and data analysis techniques.
• Strong analytical thinker with experience in forecasting, trend analysis, and pattern recognition.
• Excellent at balancing trade-offs within the logistics network while making data-driven decisions.

• Effective communicator with the ability to explain complex topics to various stakeholders.Proficient in modelling and simulation software for scenario analysis and decision support.

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.

WHAT YOU’LL DO

As a Logistics Network Integration Analyst, you will play a key role in designing, optimizing, and continuously improving the logistics network. You will leverage data analysis, modelling techniques, and simulations to develop strategic recommendations that enhance efficiency, service levels and sustainability.

KEY RESPONSIBILITIES:

• Design, develop, and optimize the logistics network using modelling techniques.
• Utilize network modelling tools to evaluate various network scenarios and simulations.
• Conduct in-depth analysis of logistics networks, considering cost structures, service levels, time-to-market, and sustainability impact.
• Collaborate with cross-functional teams to align logistics network design with overall business strategies.
• Support the development of strategic logistics network recommendations based on complex data analysis.
• Manage key data elements and data collection relevant to logistics network modelling
• Build data models and use analytics tools to identify areas for improvement.
• Develop scalable and complex logistics models to optimize the network while ensuring an excellent customer experience.
• Stay up to date with global logistics trends, KPIs, and best practices.
• Identify sustainability opportunities from social, economic, and environmental perspectives.