Lead Data Analyst – Advanced Analytics at H&M Group

Stockholm, , Sweden -

Full Time

Start Date

Immediate

Expiry Date

04 Mar, 26

Salary

0.0

Posted On

04 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Statistical Modeling, Machine Learning, SQL, Python, R, Data Visualization, Cloud Platforms, Data Mining, Feature Engineering, Business Acumen, Problem-Solving, Presentation Skills, Mentoring, Continuous Learning

Industry

Retail

Description

Job Description As a Lead Data Analyst focused on Advanced Analytics, you will play a key role in enabling teams across the organization to leverage data science and statistical modeling for smarter decision-making. You will drive the adoption of advanced analytical techniques, foster a culture of experimentation, and support the development of scalable, high-impact analytical solutions. Your work will focus on empowering others through knowledge sharing, mentoring, and the creation of reusable models, frameworks, and methodologies. You will lead initiatives that improve analytical maturity, ensure consistency in the use of predictive and statistical methods, and promote continuous learning and innovation in the use of data. The role requires a high degree of autonomy and initiative, with an emphasis on proactively identifying opportunities to apply advanced analytics to business challenges. Success in this position depends on the ability to navigate a complex, cross-functional environment, build alignment across diverse teams, and drive impactful initiatives that elevate the organization’s overall analytical capabilities. A strong understanding of business context and the ability to prioritize efforts based on strategic needs are essential to ensure that enablement activities deliver tangible value. WHAT YOU’LL DO: Champion best practices in statistical modeling, machine learning, and experimentation across teams to ensure consistency and quality. Proactively identify opportunities to apply advanced analytics to improve decision-making and business outcomes. Lead the development of reusable analytical assets, templates, and frameworks that promote scalability and efficiency. Collaborate with cross-functional teams to understand their analytical needs and guide them in applying effective modeling and experimentation approaches. Design and deliver training sessions, workshops, and documentation to upskill colleagues in advanced analytics tools, methodologies, and interpretation. Monitor the adoption and performance of analytical solutions, gathering feedback and iterating to maximize impact. Stay current with emerging technologies and trends in data science and translate them into actionable strategies for the organization. Mentor colleagues and contribute to a culture of knowledge sharing and continuous improvement. Lead strategic analytics initiatives that align with business goals and drive measurable value. WHO YOU ARE: We are looking for people with… Bachelor’s degree in Statistics, Data Science, Computer Science, Engineering, or a related field. High proficiency in SQL for querying and managing data. Strong programming skills in Python or R, with experience in machine learning libraries and statistical packages. Proficiency in data visualization tools such as Power BI, Tableau, or similar. Solid understanding of statistical modeling, hypothesis testing, and experimental design. Experience with data mining, wrangling, and feature engineering techniques. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services. Strong business acumen and the ability to translate business requirements into analytical solutions. Excellent problem-solving skills and attention to detail. Advanced presentation skills, with the ability to engage and persuade senior stakeholders with data-driven insights. Proven experience in mentoring and upskilling colleagues, including designing and delivering training, creating learning resources, and fostering a collaborative learning environment. Continuous learning mindset and ability to stay up-to-date with emerging technologies and best practices in advanced analytics. Why Join Us? At H&M, you’ll be part of a dynamic global team working on one of the most business-critical platforms. This is an opportunity to take on end-to-end technical ownership of a complex system, collaborate across international teams, and contribute directly to how H&M continues to innovate in the fashion and retail space. We offer a collaborative workplace, opportunities for professional growth, and the chance to make a tangible impact in one of the world’s leading retail organizations. Additional Information 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. Read more about us here 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. 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. 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.

Responsibilities

The Lead Data Analyst will drive the adoption of advanced analytical techniques and support the development of scalable analytical solutions. This role involves mentoring colleagues and leading initiatives that improve analytical maturity across the organization.