IT Data & Analytics Associate - Data Modeling Team at SAP

We help the world run better
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

What You’ll Build

• Contribute to the development of a next-generation data modeling environment based on SAP Datasphere
• Build and optimize scalable data models for various analytics use cases
• Gather requirements and design robust data models and processes
• Help establish data governance standards to ensure quality and consistency
• Collaborate on creating a seamless, AI-enhanced modeling experience
• Drive data-driven decision-making and data democratization across the organization
• Bring new ideas and help evolve data modeling capabilities using latest technologies

What You’ll Bring

We are looking for a motivated and curious IT student in the final stage of their studies who is eager to support our department. You should be comfortable taking ownership of tasks, working independently in a distributed team environment, and proactively contributing ideas and improvements.

You are encouraged not only to execute assigned tasks, but also to challenge the status quo, bring your own ideas, and actively contribute to shaping solutions.

• Are in the final stage of their studies (final year or thesis phase) in Computer Science, Business Informatics, Data Science, or a related field
• Are fluent in English (written and spoken), with the confidence to clearly communicate ideas and share results with stakeholders
• Have foundational knowledge of at least one programming language (e.g., Python, R, JavaScript, HTML, CSS)
• Possess basic knowledge of SQL and data querying concepts
• Have a basic understanding of AI-driven data workflows, including automation of data pipelines, metadata management, and intelligent data transformations
• Have initial experience with Agentic AI, LLMs, Prompt Engineering, or RAG (considered a plus)
• Have some hands-on experience in data modeling (SAP Datasphere preferred)
• Demonstrate strong analytical thinking and problem-solving skills, with high attention to detail
• Are able to work both independently and collaboratively within a distributed, international team
• Show a proactive mindset, taking initiative in proposing ideas and improvements
• Are eager to learn, quickly adapt to new technologies, and actively leverage training and development opportunities provided by SAP
• Take ownership of their personal and professional growth, making the most of available learning resources
• Show a strong eagerness to learn, rapidly adapt to new technologies, and continuously keep up with emerging trends in data and AI

Take the opportunity to work as a full member of a highly motivated international team, gaining both practical experience and valuable theoretical knowledge. With the support of a dedicated buddy, you will quickly integrate into the team and explore your full potential in a collaborative environment.

Our team is distributed across multiple locations, including Germany, France, the Czech Republic, and India, offering you a truly international working experience..

Working with our team, you will have the opportunity to develop and expand your skills in the following technologies (based on your interests):

• SAP Business Data Cloud (BDC): SAP Datasphere, SAP Analytics Cloud
• SAP Business Technology Platform (BTP)
• SAP Business Warehouse (BW)
• SAP HANA & SAP HANA Data Lake
• Databricks
• Collibra
• Agentic AI and Large Language Models (LLMs) applied to semantic data modeling
• Supporting tools: Wiki, Microsoft Share Point, Jira

Additionally, you will gain valuable insights into:

• How we provide internal stakeholders with reliable data platforms and deliver best-in-class analytics experiences
• The execution of strategic projects within a large, global organization
• The importance of continuously challenging the status quo and improving daily operations

If you are passionate about data and eager to grow your skills, we would love to hear from you. Join our team and help us unlock the full potential of data to drive impact.

Where You Belong

• Join the Data Modeling Team within the Corporate Functions & Analytics (CF&A) organization
• Be part of a team that enables trusted data access and actionable insights across SAP
• Work in a collaborative, cross-functional environment with various stakeholders
• Contribute to operational excellence and innovation through data and analytics

#SAPNext Gen

Bring out your best
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

We win with inclusion

SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

Successful candidates might be required to undergo a background verification with an external vendor.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

Please note that any violation of these guidelines may result in disqualification from the hiring process.

Requisition ID: 452526 | Work Area: Information Technology | Expected Travel: 0 - 10% | Career Status: Graduate | Employment Type: Limited Full Time | Additional Locations: #