KWS Group

SAP S2P Data Analyst

In short

This role manages and optimizes data pipelines and analytics for a Source-to-Pay (S2P) SAP landscape, covering ERP, AP and vendor master data governance. The company is KWS Group, an international family business in farming and biotechnology, hiring for its Berlin office. It requires strong SQL and BI tool skills (Power BI, SAP SAC, Datasphere), process mining experience (Celonis), familiarity with SAP S/4HANA, and fluent English, at a mid-level of experience.

About KWS Group
KWS Group is an international family business operating in farming and biotechnology research. KWS Berlin combines the stability of a large company with a start-up atmosphere.
Responsibilities
•Translate business requirements into analytics solutions and collaborate across the full project lifecycle
•Operate and optimize data pipelines for ERP, S2P suite, AP, and vendor master data, following governance and master data management standards
•Perform diagnostic and predictive analyses to identify value levers, such as price/volume variance and payment term optimization
•Partner with cross-functional teams to define KPI standards, maintain data dictionaries, and ensure a single source of truth
•Support process mining and advanced analytics use cases, such as Celonis, to uncover inefficiencies
•Monitor and manage the Source-to-Pay (S2P) analytics landscape for stability, scalability, and compliance
•Drive adoption and change management for analytics solutions across S2P
•Build functional analytics capabilities within the S2P organization
Requirements
•Bachelor's degree in Analytics, Economics, Engineering, Business Administration, or a related field
•Proven experience in Procurement, Finance, Source-to-Pay (S2P), or Spend Analytics environments
•Experience with Master Data Management (MDM), data governance frameworks, and data quality monitoring
•Solid understanding of Source-to-Pay processes and familiarity with SAP S/4HANA
•Experience working with large datasets and translating business requirements into scalable analytics solutions
•Proficiency in BI tools (Power BI, SAP SAC, Datasphere) and process mining (Celonis)
•Strong SQL skills
•Strong analytical mindset, attention to detail, and proactive approach
•Fluent English
Nice to have
•Experience in Power Apps, Power Automate, SAP Ariba, Python or R
•German
Conditions
•Unlimited, full-time position (38 hours/week)
•30 days of holidays
•Flexible working hours
•Holiday and Christmas bonuses
•Company pension scheme
•JobRad and/or Jobticket
•Professional and personal development support
•Modern location in Berlin-Schöneberg, opposite Bülowstraße underground station, with secured car and bicycle parking

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