Internship Analytics Advisory & Data Democratization / SC&L Analytics (all genders)

Where do you want to go? What do you want to achieve? How would you like to get involved? The choice is yours and we will support you on your way. At Bayer, multi-talents and specialists, visionaries and passionate people, thinkers and doers come together to feed the world, slow climate change and create healthier, more sustainable lives for all. This is the opportunity to start your career with a global leader committed to #HealthForAll #HungerForNone. Bring your ideas, skills and passion with you. Your career starts here.

Internship Analytics Advisory & Data Democratization / SC&L Analytics (all genders)

YOUR TASKS AND LEARNING AREAS

• Active support in various projects in the field of Supply Chain & Logistics (SC&L) Analytics and Reporting across all divisions of Bayer AG
• Support for the Enterprise Data Analytics Platform, for example, through the implementation and execution of a standardized demand process
• Participation in the conceptual development of innovative IT solutions and Advanced Analytics use cases for Supply Chain Management in areas such as End-to-End Supply Chain Planning, Production & Quality, Inventory & Write-Off Management, or Downstream, e.g., development of a reporting and analytics tool for inventory projections
• Assistance in developing a strategy and concept for establishing decision support solutions (standard reporting vs. self-service)
• Support in validating business processes regarding logical and factual relationships with a focus on optimization and automation
• Participation in the development and implementation of strategic IT projects for the introduction of planning tools and for the harmonization and standardization of data architecture
• Support in the transition from a BW system-based data landscape to a cloud-native data landscape
• Assistance in preparing information for stakeholders and decision-makers

WHO YOU ARE

• Enrolled student in economics or a comparable field
• Initial specializations in the areas of Supply Chain Management, Data Science, and/or IT, as well as relevant internships are advantageous
• Very good knowledge of MS Office, especially PowerPoint and Excel
• Basic knowledge of Power BI, Tableau, and/or Analysis for Office is a plus
• Enjoyment of working in an international team and interest in IT
• Strong analytical skills and a high affinity for numbers
• Strong communication skills and initiative, as well as enjoyment in implementing innovative ideas
• Very good English skills, both written and spoken

Why Bayer?

What counts for you, also counts for us! We believe in individual definitions of career, success, and work-life balance. You can expect a working environment in which you are welcomed, supported, and encouraged to bring your whole self to work. In addition to your work in dynamic and diverse teams, you can expect numerous benefits during your internship, such as:

• A job ticket that allows you to flexibly and sustainably design your commute to work
• The Corporate Benefits program, which entitles you as a Bayer employee to discounts from more than 150 brands
• Promotion of your personal health through the \“Bayer machtFit\“ program
• Professional development learning opportunities such as LinkedIn Learning and Education First

LI-DE

YOUR APPLICATION

This is your opportunity to tackle the world\’s biggest challenges with us: Maintaining our health, feeding growing populations and slowing the rate of climate change. You have a voice, ideas and perspectives and we want to hear them. Because our success begins with you. Be part of something big. Be Bayer.

Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.

Location: Germany : North Rhine Westfalia : Leverkusen

Division: Enabling Functions

Reference Code: 850528