Data Analyst: Product & Move Business Component Unit, H&M Group

Company Description

As one of the world’s largest fashion companies with more than 171,000 employees worldwide, H&M is an exciting and dynamic place to pursue a career within the fashion industry. H&M group comprises of nine independent brands: H&M, COS, Weekday, Monki, H&M Home, & Other Stories, ARKET and Afound. We have over 5,000 stores across more than 73 markets worldwide.

Our values reflect the heart and soul of H&M. They define what it takes to work here and how we do things. When we interact with colleagues and customers around the world, our values help us develop and grow. We want to be at the forefront of both fashion and sustainability.

Our employees play a key role and can contribute to more sustainable fashion, today and in the future.

The H&M group is on an exciting journey to meet and exceed our customers' expectations today, tomorrow and in the future. We will continue our agile transformation to further advance our ability to continuously surprise and delight our customers and accelerate our business – by releasing the power of people, data, and technology. With focus on the customer and our strong values, we explore new ways to innovate and develop products that make a meaningful and sustainable impact all over the world, and we want you to take a leading role in the transformation. 

We explore new ways of working, have a customer-focused mindset, embrace our strong values, and release the power of our people to innovate and develop products that make a meaningful impact to customers all over the world.

Join our journey and discover your potential!

Job Description

Do you want to shape the future of how H&M can use data and analytics in just about everything we do? Are you someone who is intrigued by new problem statements and loves solving meaningful problems with data?  Are you passionate about analyzing and interpreting data to help make better decisions about our business? Then H&M Group Business Tech can offer you a position that matches your personality and competence!

About the area: 

Join our business component unit, Product & Move, in the Business Tech organization. We are transforming the technical landscape and paving the way for decoupled solutions in a modern composable setup. In the Business Component Layer, we act as catalysts and drivers for change, pushing boundaries and redefining what is possible in retail technology. We are responsible and accountable for providing technical solutions for pain points and opportunities in a reusable and scalable manner all the way along the fashion product flow.

We are now looking for a Data Analyst to our business component unit where you will work across our unit of product teams supporting several digital products. Here you will work closely with Business Experts, Software Engineers and Product Managers. Your mission is to provide the product teams with data and analyses to ensure our software solutions are generating actionable and value-enhancing results for our customers and business.

As a Data Analyst you have great analytical skills, believe in a non-hierarchical culture of collaboration, transparency, safety, and trust. Our focus is on value creation, growth, and serving customers with full ownership and accountability to deliver exceptional customer and business results.

Responsibilities
You will work with large data sets from multiple sources to analyze information, visualize ideas, and make recommendations for the future. Since you will handle a lot of complex data, it is important that you possess the ability to transform it into an easily understandable format for a variety of stakeholders. As a Data Analyst you will be responsible for, but not limited to:

• Provide data insights for technical solutions and system improvements to enhance the customer experience
• Promote data-driven decision making through for example experimentation and other quantitative analysis
• Help define and visualize actionable KPIs and present the what, why and how to improve these
• Be a data ambassador and the go-to person for all data needs within your area
• Provide analysis and insights to support the planning of the development agenda of the area
• Independently drive analytical projects end to end in collaboration with team colleagues and stakeholders
• Be a main driver in identifying and setting the analytical roadmap and strategy for the area through data-driven insights
• Secure incident management, investigation, and digital forensics
• Implement tools (e.g. Power BI dashboards) that help data consumers to extract, analyze and visualize data faster and better

Qualifications

• 4+ years of work experience as a data analyst (or in a related field), preferably within retail, supply chain or similar
• A strong motivation to work in an environment that support and allows you to take own initiative and make decisions independently
• Experience working in a global environment with people from different cultural and professional backgrounds
• An analytical, creative, and curious mindset in combination with a strong foundation in statistical methods, business intelligence and data processing
• Good knowledge of data-querying using SQL
• A result-oriented mindset who is comfortable navigating through uncertainty  
• Excellent communication skills with the ability to explain data and its implications to various stakeholders
• Experience in data visualization, preferably with excellent knowledge of Power BI
• Communicativeness in English, both spoken and written

Additional Information

This is a fulltime position with placement in Bangalore. 

At H&M we have a strong, value-driven culture characterized by believing in people, teamwork, and an entrepreneurial spirit. Here you can be yourself and develop. You’ll be part of an important transformation journey at H&M Group with significant opportunities to influence and make a difference. With the right mindset and ambition, you’ll find plenty of room to grow. We welcome your application regardless of gender, age, gender expressions, sexual orientation, disabilities, religious beliefs, origin, or background. 

Please apply as soon as possible but no later than 7th Sep 2023. We do not accept applications through email due to GDPR.