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Day 5
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From 10,535 similar postings that came down. Coming down is not always a hire.
Stockholm, Stockholms län, Sweden
Live, first seen by us 5 days agoWork 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
Own the data and analytics roadmap and set KPIs for the area
Lead complex analytics projects end to end, from exploration to roll-out
Advise senior business and product leaders on strategy and priorities
Explore and evaluate AI use cases, including model outputs and prompt approaches
Mentor and coach other data analysts on projects and data storytelling
Envision, articulate and own a data and analytics roadmap that aligns with organisational goals and future tech trends.
Lead complex, high-importance analytics projects end to end, from exploratory analysis and proof of concept to A/B testing, productionising, roll-out and scaling
Act as a trusted advisor to senior business and product leaders, shaping strategy and priorities through insights on customer behaviour, commercial and product performance.
Implement new use cases, including AI: explore large datasets, test new algorithms and prompt engineering approaches, evaluate model outputs
Lead other data analysts on complex projects and mentor colleagues within and beyond your area
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 5
Similar jobs usually come down between day 5 and day 41.
From 10,535 similar postings that came down. Coming down is not always a hire.
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Work closely with solution architects and data engineers on the data architecture and data modelling for your domain, ensuring data quality, accessibility and reliability. - Stay hands-on with SQL, Python and tools such as BigQuery, dbt, Looker and Power BI to explore, model and visualise data and communicate insights. - Lead other data analysts on complex projects and mentor colleagues within and beyond your area, championing best practices through demos, documentation and walkthroughs, including coaching on data storytelling.
- Experience from product or business analysis, customer or commercial analytics, management consulting or data engineering, including leading complex, high-impact analytics initiatives. - Proficiency in SQL and good working experience with Python or R, git, dbt and cloud analytics environments such as GCP or Databricks. - Previous experience within ecommerce, retail, fashion or tech product-driven companies.
- Academic degree within Statistics, Business Administration, Economics, Engineering (or similar), or equivalent working experience. - Expertise in data visualisation tools and techniques, e.g. Power BI, Tableau, Looker Studio. - Strong theoretical and applied knowledge of statistics and expertise in at least one advanced analytics field, such as experimentation, quasi-experiments or backtesting.
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Yes. We’ve followed one other Lead Data Analyst job there since October 2026. It came down after 13 days.
WHAT YOU’LL DO
We are seeking experienced Lead Data Analysts to drive the data and analytics agenda across one of our Areas within Commercial. In this role, you’ll lead complex, high-impact analytical initiatives and represent data analytics in the wider Commercial domain, from shaping the data roadmap and setting KPIs to delivering production-ready solutions and strategic recommendations that guide key business decisions. You’ll ensure the timely delivery of high-quality work while fostering a collaborative and innovative culture across the team and beyond.
In addition to the responsibilities above, your role will include:
WHO YOU’LL WORK WITH
You’ll join a global, cross-functional team committed to delivering exceptional digital experiences through close collaboration, user-centric design and continuous iteration. As Lead Data Analyst, you’ll represent data analytics for your area and partner closely with other product teams within the global digital experience organisation, data and tech colleagues such as solution architects and data engineers, as well as senior business stakeholders and decision-makers.
WHO YOU ARE
We are looking for people with…
And people who have…
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.
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Stockholm, Stockholms län, Sweden
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