Lead Data Analyst

Role Overview

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.

What You Will Do

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, ensuring on-time delivery and high-quality standards.

Why It Might Be a Fit

We are looking for people with experience from product or business analysis, customer or commercial analytics, management consulting or data engineering, including leading complex, high-impact analytics initiatives.

Requirements

• 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.
• Proven ability to independently take a solution from A to Z exploratory analysis, proof of concept, A/B testing, stakeholder alignment, productionising, roll-out and scaling.
• Extensive knowledge of data product development and a good understanding of AI, data science and data engineering work.
• A proven track record of delivering innovative, impactful data and insights that drive key business decisions at a senior level.
• Experience influencing senior stakeholders across different competences (Commercial Leads, eCommerce Managers, Product Managers, Developers, Designers, Data Engineers etc.) in a large matrix organisation.
• Excellent communication and data storytelling skills, with the ability to lead and influence decision-making on large, key initiatives.
• Strong leadership and mentoring skills, with the ability to foster a positive and collaborative team environment, also outside your own domain.

Benefits

• Staff discount card, usable on all our H&M Group brands in stores and online.
• H&M Incentive Program – HIP.

Tagged as: Data Analysis