Data Analytics Engineer (Graduate One Year Intern)

About this Position

This position is

part of the Global Business Solution (GBS+), IT Department.

What you´ll do

Contribute to data

analytics and digital transformation projects on global scale.

Work closely with business

stakeholders to analyze processes, identify bottlenecks, and explore opportunities to

leverage data and analytics for efficiency and insights.

Contribute to building dashboards

and reports in

Power BI, combining existing and new data sources to deliver actionable

insights.

Support the design,

development, and maintenance of data-driven solutions by piloting advanced tools and

cloud

technologies (e.g., Azure, Databricks).

Participate in data

extraction, cleaning, and transformation using various tools.

Assist in data

preprocessing and integration across multiple systems to ensure data accuracy,

quality, and consistency.

Luxury to participate in data

science and AI initiatives

What makes you a good fit

• Bachelor’s degree in Computer Science, Business Informatics, Actuarial Sciences, or any related field.
• 0–1 year of relevant work experience in data analytics or engineering.
• Proficient in statistical analysis using tools such as Python or R.
• Solid foundation in programming languages : Python or Java.
• Strong understanding of database fundamentals and proficiency in SQL.
• Hands-on experience with data visualization tools such as Power BI or Tableau (mandatory).
• Preferable experience with Microsoft Azure ecosystem (e.g., DevOps, Machine Learning, Databricks, etc.) and familiarity with SAP processes.
• Fluent in English, with excellent communication and teamwork skills.
• Proficient in Microsoft Office applications (Word, Excel, PowerPoint).

Some perks of joining Henkel

At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.