Lead Data Analyst

Job Description 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…