Data Analyst – Sustainability, Green IT

Company Description

Join H&M Group on a groundbreaking journey towards a circular fashion industry with net-zero climate impact. At H&M, we are committed to driving sustainability and innovation, exceeding customer expectations, and shaping the future of fashion through technology data. H&M is striving to become more data-driven within the sustainability area to support decision making, reporting and operational input. Our goal is to democratize sustainable data for all within the eco system, reach our sustainability goals, and decouple our growth from our climate impact. 

Green IT’s responsibility is to contribute to H&M Group's sustainability agenda by enabling a platform for real time sustainability data. We will do that by identifying technologies that will help us achieve our sustainability goals. We are working towards connecting sustainability data across our entire value-chain, end to end. This includes storing and verifying sustainability data, supporting advanced calculations and prediction models, and visualizing data through e.g., various reports/dashboards. 

We are looking for a Data Analyst with a genuine interest in sustainability and the ability to transform business' requirements and needs into solutions, to join the Tech Green IT team. 

Learn more about H&M: Learn more about H&M | H&M Careers (hm.com) 

Job Description

As a Data Analyst, you will work in a cross-functional product team with a focus on creating end to end solutions for sustainability to enable reporting and steering according to ESG Legislation and other identified sustainability KPIs in line with Group Sustainability prioritized agenda. You will further develop a thorough understanding of Business processes, such as Sustainability, Production, Logistics etc., and the IT-related development needed.

What you will get to do:  

• Work with multiple complex data sources, prepare data, aggregate, and transform both structured & unstructured data. 

• Analyze and design solutions together with sustainability stakeholders and the product team to maximize business impact. 

• Build, test, and optimize solutions with input from sustainability experts. 

• Explore data from multiple complex data sources (APIs, databases, etc.). 

• Clean and transform data and develop data flows. 

• Build reports and dashboards, and products around sustainability data, while securing the realization of business value from data 

• Build calculation models and prediction models in different environments. 

• Develop and test different solutions together with Sustainability controllers. 

• Combine, explore, and draw valuable insights from data. Work with large and complex data assets from various parts of the business.

• Identify and interpret trends and patterns in complex data sets to enable the business to take data-driven decisions. 

• Help the client to analyze and visualize data by building dashboards etc.

Qualifications

• Relevant academic degree within Business, Statistics, Engineering or similar 

• At least 3-5 years of relevant work experience in a position requiring strong analytical skills. 

• Experience using numerical, statistical, and analytical methods to apply to data processing.  

• Ability to work with large and complex data sets. 

• Skilled in Big Query, SQL or Python is preferred. 

• Experienced in Data modelling. 

• Experience working with any data visualization tools e.g., Power BI, Looker, Tableau, Data Studio 

• Experience with google cloud and data mesh preferred 

• Excellent communication skills in writing, speaking, and presenting. 

• Strong in prioritization, execution, and following up together with a “can-do attitude.” 

• Motivated by an environment that allows you to work and take decisions independently. 

• Fluent in English, both written and verbal 

Our journey will lead to something new and exciting - we will test, fail, and learn. You are an important player in this transformation; therefore, we believe you are flexible, stress-resistant, and able to work in an environment that is ever changing. 

Additional Information

This is a full-time permanent role based in Stockholm.

If you feel that your experience, skills and ambitions are right for this role, please send your resume in English by April 07. Due to GDPR, we do not accept cover letters and applications via email. 

We look forward to receiving your application!

H&M is committed to creating a Diverse & Inclusive environment and we are actively looking for qualified candidates irrespective of race, gender, gender identity, sexual orientation, ethnicity, religion, national origin, disability or age