FAQs
What are the main responsibilities of the internship role in Data & Analytics – Consumer Brands?
The main responsibilities include collecting and analyzing data to derive improvements and solutions, assisting with building and maintaining dashboards in Power BI, conducting advanced data analyses using AI techniques, identifying trends and generating insights from various data sources, and providing support to other internal teams on data-related projects.
What educational background is required for this internship?
Candidates should have studies in statistics, mathematics, computer science, physics, data science, or related fields. A completed bachelor’s degree is a plus.
Is prior experience in data analytics required for this role?
No prior experience is required, but an interest in data and a desire to gain professional experience in business and data analytics are important.
What technical skills are preferred for this internship?
Preferred skills include a basic familiarity with data visualization tools (e.g., Google Data Studio, Tableau, Power BI), advanced SQL knowledge, and programming skills in Python or R.
What type of projects can interns expect to work on?
Interns can expect to work on projects involving data collection and analysis, dashboard creation, advanced data analytics utilizing AI and statistical methods, and generating insights from various data sources.
What is the salary range for this internship?
The salary range for the internship is between €1050 and €2095, depending on the duration of the internship, whether it's voluntary or mandatory, and the candidate's existing degrees.
What qualities are valued in candidates for this role?
Candidates should possess strong analytical skills, problem-solving abilities, and excellent communication, presentation, and organization skills.
Does Henkel encourage applications from diverse backgrounds?
Yes, Henkel welcomes applications from candidates of all genders, origins, cultures, religions, sexual orientations, disabilities, and generations, believing that the uniqueness of employees is a source of strength.