FAQs
What educational qualifications are required for the Data Analyst R&D position?
A Master’s degree in computer science, mathematics, natural science, or adjacent technical disciplines is required.
What technical skills are needed for this role?
Candidates should have profound knowledge in data visualization, especially using MS Power-BI, and first-hand experience with SQL, Python, and PySpark. Basic experience with DataBricks and Azure ML is advantageous.
Is experience in data visualization important for this role?
Yes, profound knowhow in data visualization is essential, particularly with MS Power-BI.
Will I be working with other team members in this role?
Yes, you will work hand-in-hand with software developers, data scientists, and data engineers as part of a team.
Is proficiency in languages other than English required?
Fluent English is required, and German language skills are advantageous.
What is the main focus of the Data Analyst R&D role?
The main focus is to implement advanced analytical methods to identify patterns in scientific datasets, develop systematic collection methods for scientific results, and visualize complex datasets.
Is there an opportunity for learning new technologies in this position?
Yes, there is a strong drive to learn and master new technologies and techniques in this role.
What industries does Henkel primarily operate in?
Henkel primarily operates in industrial and consumer businesses, specifically in dynamic categories like Laundry & Home Care and Hair.
What is the workplace culture like at Henkel?
Henkel promotes a diverse and vibrant culture that values the uniqueness of all employees, encouraging a collaborative and inclusive work environment.