Business Process Consultant (m/f/d) as Technical Data Analyst / Data Scientist

We help the world run better

At SAP, we keep it simple: You bring your best to us – and we bring out the best in you. We are shapers in over 20 industries and drive 80% of global trade. For this, we need your unique talents to help shape the future. The work is demanding – but it matters. You will find an environment with us where you can be yourself, your well-being is a priority, and you truly feel belonging. What’s in it for you? Continuous learning, development of your skills, attractive benefits, and a team that wants you to grow and succeed.

CONTENT AND GOALS

In the Consumer Industry Services area, we support international customer projects in retail, focusing on demand forecasting and automated replenishment. The main focus of the activity is the introduction of SAP standard components and their integration into our customers’ IT landscape as well as consulting on all aspects of product implementation.

Besides pronounced technical and communication skills, the role requires solid knowledge in statistics and machine learning (ML). The scope of work includes conducting sophisticated statistical and logistical value chain analyses as well as implementing complex integration scenarios at our customers.

To strengthen our experienced team, we are looking for you as soon as possible.

TASKS

• Introduction and integration of SAP Customer Activity Repository (CAR)/Unified Demand Forecast (UDF) as well as the Industry Cloud platform "Demand and Inventory Planning" with a focus on data analysis, ML-based demand forecasting, and replenishment/inventory optimization.
• Conducting time series analyses including feature engineering and data preparation. Definition of KPI/measurement concepts as well as model monitoring, retraining, and error analysis.
• Professional and technical consulting on end-to-end processes in demand planning and replenishment as well as optimal use of our forecasting platform.
• Technical data integration between SAP system components and heterogeneous data sources as well as ensuring data quality through validations and monitoring for robust forecasting and optimization models.
• Conducting complex optimization and simulation analyses for inventory and replenishment optimization based on large data volumes.
• Preparation and execution of workshops and presentations for international stakeholders including decision-making and action recommendations.
• Creation of concepts and documentation, transition to productive operation, key user training, and support in change management.

EDUCATION AND QUALIFICATIONS / SKILLS AND COMPETENCIES

• You have a degree in mathematics, computer science, engineering, or natural sciences or a comparable qualification with relevant professional experience.
• You bring practical experience in time series analysis, statistical methods/ML, and data preparation including data quality checks.
• You have solid SQL and database knowledge and confidently handle large data volumes as well as data modeling.
• You have experience in data integration and integration of complex system landscapes. Ideally, you have knowledge of S/4HANA and the SAP data model.
• You prepare results in a target group-oriented manner and convince with clear action recommendations.
• You are characterized by pronounced analytical thinking, are team-oriented, and work independently, structured, and communicatively strong.
• Experience with replenishment and forecasting solutions in retail is helpful but not a prerequisite.
• You speak fluent German and have business fluent English. You enjoy working in international teams.

Bring out your best

SAP innovations help more than four hundred thousand customers worldwide collaborate more efficiently and use business insights more effectively. Originally known for its leading role in enterprise resource planning software (ERP), SAP has developed into a market leader for end-to-end business application software and related services in databases, 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-oriented – with a highly collaborative team culture and a clear commitment to personal development. Whether we connect global industries, people, or platforms – we ensure that every challenge receives the right solution. At SAP, you can bring your best.

We win through inclusion

SAP’s inclusive corporate culture, focus on health and well-being, and flexible working models ensure that everyone – regardless of background – feels included and can perform at their best. We are convinced that the unique skills and qualities of each individual strengthen us. That is why we invest in our employees, foster trust, and help everyone realize their full potential. Our goal is to unleash all talents and create a better world.

SAP is committed to the principles of equal opportunity in working life and offers barrier-free support to applicants with physical and/or mental disabilities. If you would like to apply to SAP and need an adjustment or special support for using our website or for the application process, please send an email with your request to the Recruiting Operations Team: Careers@sap.com

For SAP employees:

According to the terms and conditions of the SAP Referral Policy, only permanent positions are eligible for the SAP Employee Referral Program. Special conditions may apply for positions in vocational training.

Qualified applicants will be considered regardless of age, ethnic origin, religion, national origin, ethnicity, gender (including pregnancy, childbirth, etc.), sexual orientation, gender identity or expression, status as a protected veteran, or disability – in accordance with applicable federal, state, and local laws.

Successful candidates may be required to undergo a background check by an external service provider.

Use of AI in the recruiting process

Information on the responsible use of AI in our recruiting process can be found in our Guidelines for Ethical Usage of AI in the Recruiting Process. Please note that violations of these guidelines may lead to exclusion from the application process.

Requisition ID: 443284 | Work Area: Consulting and Professional Services | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid

Job Segment: ERP, Business Process, Cloud, Demand Planner, Supply Chain, Technology, Management, Operations

Zurich Airport, Zurich, CH, 8058