Customer Insights Analysts to H&M Marketing & Communication

  • Full-time

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 global CRM and Loyalty 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 at the CRM & Loyalty department 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 Media 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 departments.

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 CRM 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
  • In this role, you will work closely with central teams within Marketing and Sales

Qualifications

  • Degree in economics, engineering, statistics or related field
  • Newly graduated or with a few years of relevant working experience, e.g. within the area of customer analysis
  • SQL programming experience
  • DAX and visualization experience in PowerBI are preferred, if not, experience in other reporting tools such as Tableau is good to have

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

These are full-time positions based at the H&M Head Office in Stockholm, Sweden.

If you feel that your experience, skills and ambitions are right for this role, please send in your resume in English through our career site latest Feb 7. Responsible Recruiter is Iris Carlström.

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.

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