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H&M

Global fast-fashion retailer of affordable clothing

Lead Data Analyst

Data ScienceConfirmed live in the last 24 hours
Full-timeStockholm, SwedenNo salary listedHybrid

About the Job

Requirements

  • Experience in product or business analysis, customer or commercial analytics, management consulting, or data engineering, including leading complex, high-impact analytics initiatives.
  • Proficiency in SQL and working experience with Python or R, git, dbt, and cloud analytics environments such as GCP or Databricks.
  • Previous experience within ecommerce, retail, fashion, or technology product-driven companies.
  • An academic degree in Statistics, Business Administration, Economics, Engineering, or a similar field, or equivalent working experience.
  • Expertise in data visualization tools and techniques, such as Power BI, Tableau, or 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.
  • Ability to independently take a solution from exploratory analysis through proof of concept, A/B testing, stakeholder alignment, productionizing, rollout, and scaling.
  • Extensive knowledge of data product development and a good understanding of AI, data science, and data engineering work.
  • A track record of delivering innovative, impactful data and insights that drive key business decisions at a senior level.
  • Experience influencing senior stakeholders across different competencies in a large matrix organization.
  • Communication and data storytelling skills, including the ability to lead and influence decision-making on large, key initiatives.
  • Leadership and mentoring skills, including the ability to foster a positive, collaborative team environment beyond the candidate’s own domain.
  • Experience working in agile, iterative product development environments.
  • A proactive, ownership-driven approach and ability to navigate ambiguity, resolve conflicts constructively, and build alignment across areas and stakeholders.
  • Curiosity and drive to identify, explore, and test emerging methods and technologies relevant to the company, and to lead their adoption.
  • Passion for data advocacy, automation, and continuous improvement, including raising data literacy and enhancing team ways of working.

Responsibilities

  • Act as a trusted advisor to senior business and product leaders, shaping strategy and priorities through insights on customer behavior and commercial and product performance.
  • Develop and own a data and analytics roadmap aligned with organizational goals and future technology trends.
  • Lead KPI-setting for the area and beyond, ensuring measurement frameworks and event tracking support strategic business goals.
  • Lead complex analytics projects end to end, from exploratory analysis and proof of concept through A/B testing, productionizing, rollout, and scaling, while ensuring timely delivery and quality.
  • Solve difficult business problems without established solutions, using advanced methods such as quasi-experiments when complex rollouts make standard testing impossible.
  • Implement new use cases, including AI: explore large datasets, test algorithms and prompt-engineering approaches, evaluate model outputs, and ensure solutions are production-ready and scalable.
  • Collaborate with solution architects and data engineers on data architecture and data modeling, ensuring data quality, accessibility, and reliability.
  • Use SQL, Python, BigQuery, dbt, Looker, and Power BI to explore, model, and visualize data and communicate insights.
  • Lead other data analysts on complex projects and mentor colleagues within and beyond the area; promote best practices through demos, documentation, walkthroughs, and coaching on data storytelling.
  • Promote a data-driven culture and lead within the analytics Community of Practice across Commercial and H&M Group, fostering shared learning, collaboration, and continuous improvement.
  • Represent data analytics for the area and partner with product teams, data and technology colleagues, and senior business stakeholders and decision-makers.

Desired Qualifications

  • A proactive, ownership-driven approach and ability to navigate ambiguity, resolve conflicts constructively, and build alignment across areas and stakeholders.
  • Curiosity and drive to identify, explore, and test emerging methods and technologies relevant to the company, and to lead their adoption.
  • Passion for data advocacy, automation, and continuous improvement, including raising data literacy and enhancing team ways of working.

About the Company

H&M

Global fast-fashion retailer of affordable clothing

H&M is a global fashion retailer that sells affordable, trendy clothing and accessories for men, women, teens, and children through both online and physical stores. The company works by maintaining a fast, efficient supply chain to bring runway-inspired styles to customers quickly and at competitive prices, supported by large-scale production and a broad global footprint. It differentiates itself with its extensive international reach, ability to offer a wide range of products for the whole family at low prices, and a focus on sustainability, including eco-friendly lines and recycling programs. The goal is to provide fashionable, quality apparel at accessible prices to a diverse customer base around the world while reducing environmental impact through responsible practices.

Company size
10,001+
Company stage
IPO
Headquarters
Stockholms kommun, Sweden
Founded
1947

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