As a Lead Data Analyst focused on Analytics engineering, you will play a key role in raising the analytical and technical maturity of our Data Analysts by establishing standards, providing hands-on guidance and enabling analysts to build robust and scalable data products.
You will lead the development and adoption of Analytics Engineering practices across the organization, helping teams improve how data is modeled, governed, and consumed. Through upskilling, knowledge sharing, and creation of reusable frameworks and assets, you will strengthen our analytics capabilities and help establish a more consistent way of working with data.
The role requires a high degree of autonomy, initiative taking, and collaboration. You will proactively identify opportunities to improve data practices, drive cross-functional initiatives, and build alignment across diverse stakeholder groups. Success in this role depends on your ability to balance strategic priorities with execution, navigate a complex organization and data landscape, and help teams deliver analytical solutions that are scalable, maintainable and aligned with business needs.
WHAT YOU'LL DO
- Lead complex analytical initiatives end-to-end, from problem framing and data exploration to data modeling, analysis and actionable recommendations.
- Partner with cross-functional teams and stakeholders to translate strategic questions and business needs into analytical approaches, scalable data models, and actionable insights.
- Lead the development of reusable data assets, templates, and frameworks that streamline work and promote scalability.
- Champion best practices in Analytics Engineering through the data analytics community, including data modeling, testing, documentation and maintainability of analytical data products, ensuring the support both traditional analytics and emerging AI driven use cases.
- Own and drive the Analytics Engineering community for Data Analysts, establishing standards and fostering collaboration across the organization.
- Design and deliver training sessions, workshops, and documentation to upskill colleagues in tools, methodologies, and data interpretation.
- Proactively identify and act on opportunities to improve data literacy and analytical capabilities across the organization.
- Mentor colleagues and contribute to a culture of knowledge sharing and continuous improvement.
WHO YOU ARE
We are looking for people with...
- Proven experience leading complex analytical initiatives and influencing analytical direction across teams or domains.
- Strong business understanding and ability to translate complex or ambiguous business needs into clear analytical questions, approaches, and recommendations.
- Experience driving standards, best practices, and ways of working across teams through influence, coaching, and collaboration.
- Proven experience mentoring and developing colleagues through coaching, training, and knowledge sharing.
- Strong communication and stakeholder management skills, with the ability to explain complex analytical concepts to both technical and non-technical audiences.
- High proficiency in SQL and strong understanding of data modeling principles.
- Experience developing and maintaining analytical data products using tools such as dbt, Power Query, or similar.
- Strong understanding of data warehousing concepts and modern analytics architectures.
- Experience with version control (Git) and CI/CD practices within analytics workflows.
- Experience using Python, R, or similar technologies to support analytical workflows and automation.
- Bachelor's degree in Statistics, Engineering, Computer Science, or a related field.
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.
Skills Required
- Experience leading complex analytical initiatives and influencing analytical direction across teams or domains
- Strong business understanding and ability to translate ambiguous business needs into analytical questions, approaches, and recommendations
- Experience driving standards, best practices, and ways of working across teams
- Experience mentoring and developing colleagues through coaching, training, and knowledge sharing
- Strong communication and stakeholder management skills
- High proficiency in SQL and strong understanding of data modeling principles
- Experience developing and maintaining analytical data products using dbt, Power Query, or similar tools
- Strong understanding of data warehousing concepts and modern analytics architectures
- Experience with Git and CI/CD practices within analytics workflows
- Experience using Python, R, or similar technologies for analytical workflows and automation
- Bachelor's degree in Statistics, Engineering, Computer Science, or a related field
H&M Group Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about H&M Group and has not been reviewed or approved by H&M Group.
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Healthcare Strength — Medical, pharmacy and vision options with low employee costs and free dental are available, alongside telehealth and inclusive offerings such as transgender, bariatric and fertility coverage. These features are highlighted as solid for U.S. retail roles, with some availability for part‑time positions depending on eligibility.
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Leave & Time Off Breadth — Vacation, flexible wellness days, company‑paid holidays and a paid birthday off are offered, with some paid time off available to part‑time staff. The time‑off structure is presented as generous within the retail context.
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Parental & Family Support — Eight weeks of paid parental pay for mothers and fathers is provided, complemented by adoption assistance and healthy pregnancy/babies programs. These family supports add depth to the core medical coverage in the U.S. package.
H&M Group Insights
What We Do
Founded in 1947, H&M Group is a global design company with ~4,702 stores in 76 markets and 56 online markets. At H&M Group, we believe in making great design available to everyone. It’s essential in everything we do. Our family of brands and business ventures offer customers around the world a wealth of fashion, beauty, accessories and homeware, as well as modern menus with fresh and local produce at some of the brands’ in-store eateries. But design is so much more than just products; it’s about clever design processes, efficient product flows, creating experiences that enrich, and smart solutions that benefit all our customers. Sustainability is always at the core of our business. Not only because we like to do what’s right — but it’s also beneficial for our business. We will continue to push for change and lead the way towards a more inclusive and sustainable fashion future. Do you want to join us? We will trust you with great responsibility right from the start, reward a passionate mindset and encourage an entrepreneurial spirit. When you start a career with H&M Group, there’s no limit to where it can take you. H&M Group's Moderation Policy: Welcome to H&M Group’s official LinkedIn page. Ask questions, exchange ideas and meet members and employees from all over the world. This page is moderated daily and we always do our best to answer each one of you in a timely manner. Please remember to keep a friendly tone and in line with LinkedIn’s legal terms at https://www.linkedin.com/legal/user-agreement Comments and posts that contain foul language, are off-topic or unnecessarily rude will be deleted. We also encourage you to report any inappropriate content. We use an external tool to handle the comments on our page, so please note that your comments can be stored. For questions, please contact our team at [email protected].
