Lead Customer Insight Analyst at H&M Group i Stockholm

Lead Customer Insight Analyst

Insights & Analytics, H&M Group

 

 

For over 70 years, H&M Group has worked towards our mission of democratising fashion for people around the world. We also believe that fashion should not only be about looking good, but something that helps people feel good about themselves every single day.

 

The Insight and Analytics (I&A) is a multidisciplinary team that studies the world to inform, inspire and ignite the imaginations of our colleagues across the H&M Group. We advocate for the needs of our customers and help the company cultivate the knowledge it needs to make creative and enlightened decisions.

 

As one of the largest brands in the world, our designs touch millions of people every day. Our scale means we serve people across cultures, languages and in 71 countries. With such a wide presence, our understanding of the world’s diversity is critical to our business.

 

We are looking for people to join our team who are as passionate as we are about discovery, asking questions and learning about people, fashion and culture. This role the will blend the creative use of data and statistics, with a broader understanding of the cultural and behavioural contexts of customers.

 

We are a team from a wide range of backgrounds and there is no uniform profile we are seeking.  Our expectation is, that you are imaginative, have a rigorous and deep understanding of statistics and analytical techniques, and how to apply this to gain a deeper understanding of our customers. You do not need to come from inside the fashion industry, and we hope you will still apply even if you don’t have a conventional profile.

 

 

Responsibilities

 

·       Exploratory data analysis using statistical modelling with CRM, demographic, survey, and transactional data about our customers

·       Constantly ask questions about why our customers think, feel and act in the way that they do

·       Using a hypothesis-led approach and determining the analyses required to either prove or disprove the hypotheses

·       Setting up and managing multivariate analyses or experiments with sufficient power to derive reliable conclusions, such as A/B split tests and multi-armed bandit models

·       Identifying signals in new or pilot datasets and interfacing with our AI and Data Science teams with any promising preliminary analysis

·       Weekly briefings to senior-level executives to ensure we have the right knowledge and understanding to make strategic business decisions

·       Building helpful data dashboards for non-technical colleagues and stakeholders that answer ongoing questions

·       Creating digestible, memorable and highly visual presentations of synthesised data that compel audiences to insightful action

·       Ensuring compliance with the GDPR and work within our data and AI ethics guidelines to ensure stewardship, care and respect towards the collected data

• When required, using data to respectfully and constructively challenge our prior assumptions about customers
• If based elsewhere, frequent travel to our global head office in Stockholm, Sweden will be required

 

 

Qualifications

 

Either:

 

·       Higher degree in numerate subject, e.g. Computer Science, Mathematics, Statistics, Economics or Data Science, or

·       In lieu of a degree, a portfolio of work or experiences that demonstrates an advanced knowledge of quantitative analysis

 

 

Required skills

 

·       Demonstrable proficiency in SQL and data analysis in either R or Python

·       Demonstrable proficiency in statistical techniques, such as Bayesian approaches, regression, clustering, random forests and time series

·       Effective at communicating and explaining data in simple and memorable ways

·       Familiarity with common data visualisation tools, such as Tableau

·       A natural story-teller and engaging communicator

·       Cultural awareness and an insatiable interest about the world

 

 

Desirable skills

 

·       Experience with more advanced machine learning methods would be very desirable, such as neural networks, computer vision or natural language processing

·       Familiarity with social listening tools, such as Crimson Hexagon or Brandwatch

·       Familiarity with common business modelling metrics, such as customer lifetime value estimation

·       Experience in social, cultural or anthropological research

·       Knowledge of a major world language would be an advantage, such as Spanish, Hindi, Mandarin or Arabic

·       An interest in fashion, style, design and culture

 

 

Application questions

 

In your application, please answer the four following questions (circa 200-300 words each). This can be done in a slide deck or in a cover letter, as you prefer. There are no right or wrong answers, we are simply interested in how you approach the question!

 

1.         Can data encapsulate the nuances of culture and design? Why or why not?

 

2.        What are the advantages and disadvantages of assuming a normal distribution in consumer research?

 

3.       How would you predict a fashion trend?

 

4.        Can data fairly label and represent a person’s identity? Why or why not?

 

 

Optional information

 

If you feel like your formal CV does not fully represent your talent or experience, please take an opportunity to briefly explain or demonstrate in your own way something that would help us better understand your potential for this role. For example, this could be showing us your Kaggle or Github profile, non-work passion projects involving data or from volunteering.

 

 

How to apply

 

If this opportunity sounds interesting, please apply by sending us an application that includes answers to the above questions, your CV (or a portfolio of work) and cover letter by 12.8.2019. If you have any questions about the role, please contact insights@hm.com.