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You will be updated with latest job alerts via emailWHAT YOULL DO
Key Responsibilities:
WHO YOULL WORK WITH
Product team Price Adjustment Experience (PAE) team builds products to help our merchandisers in reducing prices at a lower cost for the company by offering efficient riskminimized tools for planning and managing price reductions in a datadriven way. The team strives towards creating a one stop shop application for managing price reductions for both Online and Retail by providing functional flows for reduction activity planning & event calendar article selection and pricing with & without AI omni channel price alignment one click for automatic activation in both sales channels etc.
WHO YOU ARE
We are looking for people with
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 YOULL 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.
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 its 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.
Additional Information :
This is a fulltime position based in Bengaluru India.
Apply by sending in your CV in English as soon as possible but no later than the Date of 16th May. Due to data policies we only accept applications through career page.
Remote Work :
No
Employment Type :
Fulltime
Full-time