Supply Chain Data Analyst — AI-Driven Insights

H & M Hennes & Mauritz Gbc AB; Stockholms kommun; On-site; SEK 600,000 - 800,000; Full time

Benefits offered by this job

30 days holiday

Staff discount 25%

HIP program

Wellness benefit 4000kr/year

Benifex Benefits Portal

Community with activities

Job summary

H&M Group is seeking a data analytics professional to translate business needs into actionable insights across fashion retail and e-commerce. You will work with Gen-AI technologies, SQL, Python and BI practices to optimize product performance and support strategic decisions.

You will collaborate with data scientists, product managers and business experts to deliver data-driven value, visualize KPIs, and ensure robust data models for scalable analytics across global markets.

Qualifications

• Degree in economics, business, supply chain, math, engineering or related field.
• Experience in analytics roles within retail, fashion or tech-driven companies.
• Proficient in SQL, Python or R; exposure to data tools is a plus.
• Strong analytical methods and data visualization experience.

Responsibilities

• Translate business processes into data-driven insights to guide decisions across the value chain.
• Support optimization of digital fulfilment flows and inventory utilization.
• Lead data modelling conversations for scalable data structures.
• Define and visualize KPIs to drive transparency and performance.
• Collaborate with cross-functional teams to deliver data-driven business value.

Skills

SQL

Python

R

Dataform

dbt

Power BI

Git

Education

Economics

Business

Supply Chain

Mathematics

Engineering

Tools

Git

Dataform

dbt

Job description

H&M Group is seeking a data analytics professional to translate business needs into actionable insights across fashion retail and e-commerce. You will work with Gen-AI technologies, SQL, Python and BI practices to optimize product performance and support strategic decisions.

You will collaborate with data scientists, product managers and business experts to deliver data-driven value, visualize KPIs, and ensure robust data models for scalable analytics across global markets.