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Salary
≈ $13k – $30k per year (Estimated)
Location
Hybrid (Bengaluru, India)
Seniority
Senior · 4+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Oct 16, 2026. H&M Group scores B on the Alion truth index.

Overview
Company
Impact
Profile match
H&M Group is a Swedish multinational fashion and design company founded in 1947 and headquartered in Stockholm. The corporate parent operates a global portfolio of lifestyle brands - including H&M, COS, Weekday, Monki, & Other Stories, and ARKET - serving customers across thousands of physical stores and online markets worldwide. The organization focuses on making clothing and home design accessible while heavily investing in circular business models, sustainable textiles, and supply chain transparency.

WHO YOU’LL WORK WITH

What is Production? It's the place where design ideas are transformed into actual products. We are in over 20 sourcing markets and are the direct point of contact for local suppliers. We work to ensure our products are of good quality and produced at the best price and in a sustainable way.

The role sits within the H&M Production organization and will work closely with the Business Tech Team, the central technology and data function responsible for building and enabling digital, analytics, and reporting capabilities across the business.

WHAT YOU’LL DO

As a Data Analyst, you are responsible for transforming data into actionable insights that support business decisions and drive performance. You collect, analyse, and interpret complex datasets, develop reports and dashboards, and identify trends, patterns, and opportunities for improvement. Working closely with stakeholders across functions, you ensure data accuracy. Collect, clean, validate, and analyse data from multiple sources.

  • Use Python or R for data analysis, data manipulation, and automation.
  • Write SQL queries to extract, filter, and manipulate data.
  • Develop interactive dashboards and reports using Power BI or Tableau.
  • Identify trends, patterns, and key performance indicators (KPIs).
  • Present analytical findings and actionable insights to stakeholders.
  • Collaborate with cross-functional teams to support data-driven decisions.

WHO YOU ARE

  • B tech or a bachelor’s degree in computer science, Statistics, Mathematics, Data Analytics, or a related field with at least 4-6 years of work experience.
  • Mandatory: Proficiency in Python or R for data analysis.
  • Strong knowledge of SQL and database concepts.
  • Proficiency in Microsoft Excel.
  • Knowledge of Power BI or Tableau for data visualization.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to interpret data and communicate insights effectively.

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.

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.

Enjoy perks like staff discount cards, flexible work arrangements, wellness benefits, parental support, and more. Here, you are encouraged to be yourself, experiment, and chart your own growth path. As you flourish, so do we, with opportunities to create tangible impacts and shape the future.

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.

*We are committed to a recruitment process that is fair, equitable, and based on competency. We therefore kindly ask you to not attach a cover letter in your application.

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