Customer Insights Analysts to H&M Marketing & Communication

Company Description


Do you enjoy working on a high strategical level with complex customer data? Do you also want to be at the forefront of data driven decision making within marketing in an international setting? We’re right now looking for several Customer Insights Analysts to H&M Marketing & Communication!
As a member of the Marketing department you will part of a fun team with access to large and varied amounts of exciting data. We work with sophisticated CRM methods and are responsible for supporting the organization with data driven customer insights that are the basis for operational and strategical business decisions. As an Analyst you will be an important player in how H&M builds relationships with our customers now and in the future.




Job Description


We are strengthening the team with several Customer Insights Analysts that will work in a direction of CRM, Loyalty, Customer and Marketing Analytics. We are looking for both experienced analysts in these areas as well as newly graduated persons with an interest and ambition to become Analysts with a customer centric focus. You will be a part of the whole process from idea, data mining, analysis, build reports and communication of results. You will also support different parts of the H&M organization with insights about our customers such as Media, Business Tech and Sales.
We offer you a workplace where your work will impact the business decisions made at H&M’s different departments. A challenging role with opportunity to develop your technical and analytical skills. You get the opportunity to work in a team of talented analyst who support each other and do many fun activities together.
Your responsibilities:
Analyze customer data to deliver clear insights on customer segments behavior to be used in customer strategies and marketing communication
Translate insight into recommendations that drive decision-making and actions
Use data visualization tools to structure data and build customer reports that spread customer insights to different stakeholders within the company.
Contribute in projects and respond to ad-hoc analyses requests.
Contribute to H&Ms work to be even more customer centric and create a learning organization.
Build relevant segments of customers – used in our personalized and targeted communication





Qualifications


Degree in engineering, economics, statistics or related field
Either newly graduated OR 3-6 years of relevant working experience within the area of customer analysis or data analysis
Programming, querying experience for data analysis. Preferably SQL.
Experience building reports. Ideally in PowerBI (visualization and DAX). Otherwise other reporting tools such as Tableau, Qlik, etc

Experience in analyzing customer behavior by using multiple data sources, resulting in clear recommendations for action and knowledge as well as knowledge of SAS, R or Python is seen as meriting.
As a person you are independent, results-oriented and a true problem solver. You are a strong analyst who thrives when given large data sets to dig into and to derive actionable insights from them. You are able to proactively identify the needs of the company and handle ambiguity, while also securing that the goals for the team are met. Lastly you have a genuine passion for retail and customer behavior as you will impact how H&M builds relationships with our customers now and in the future.




Additional Information


The position will be located at our newly renovated head office in Stockholm, Sweden.
Sounds Interesting?
Please apply with CV in English as soon as possible, but no later than the 31st January. .
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. We strive to have a fair and inclusive recruitment process. Therefore, we kindly ask you to not attach a cover letter in your application as they often contain information that can easily trigger unintentional biases.
We look forward to hearing from you!