Stockholm, Stockholms län, Sweden
Live, first seen by us todayWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
You’ll work with Gen-AI technologies and leverage SQL, programming tools, and BI best practices to deliver actionable insights and optimize product performance.
Translate business processes and objectives into data-driven insights, helping the organization understand performance and make strategic decisions throughout the value chain.
Translate large volumes of data into actionable insights that guide strategic decisions across fashion retail and supply chain.
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.
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 replenishment, helping improve how, when, and how much stock is replenished to stores to increase product availability while maintaining healthy inventory levels.
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 supply chain. Define, monitor, and visualize key KPIs to drive transparency and measure impact.
Experience in analytics roles, ideally within retail, fashion, supply chain, or other data driven environments. Experience working with inventory management, or supply chain optimization is a plus.
Experience using data visualization tools such as Power BI or similar.
Proficiency in SQL, Python, or R. Experience with modern data tools and development practices, such as Git, Dataform, or dbt, is a plus.
H&M Group is a global company of strong fashion brands and ventures.
In the employer’s words · Read in context
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
Day 0
Early. Similar jobs usually come down between day 5 and day 41.
At H&M Group, jobs usually come down by about day 7.
From 12,200 similar postings that came down, and 36 of H&M Group’s. Coming down is not always a hire.
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Experience in analytics roles, ideally within retail, fashion, supply chain, or other data driven environments. Experience working with inventory management, or supply chain optimization is a plus. - Proficiency in SQL, Python, or R. Experience with modern data tools and development practices, such as Git, Dataform, or dbt, is a plus. - A solid understanding of analytical methods applied to real-world data problems.
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.
- A solid understanding of analytical methods applied to real-world data problems. - Experience using data visualization tools such as Power BI or similar. And people who are…
Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.
Already applied? Track this application
Yes. We’ve followed 2 other Data Analyst jobs there since October 2026. One came down after 4 days. One is still up.
New Analyst postings at the employers we follow are up 18% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
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:
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…
And people who are…
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.
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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Stockholm, Stockholms län, Sweden
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.