Data Analyst - focus on Source-to-Pay (m/w/d)
On-siteBerlin, State of Berlin, Germany
Job Summary
Translate business requirements into analytics solutions and collaborate across the full project lifecycle. Operate and optimize data pipelines (ERP, S2P suite, AP, vendor master) with strong 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 to uncover inefficiencies while monitoring the Source-to-Pay analytics landscape for stability, scalability, and compliance. Drive adoption and change management for analytics solutions across the S2P organization to build functional capabilities. This role operates full-time (38 hours/week) in Berlin at KWS Berlin GmbH, a leading plant breeding company with over 170 years of independent family ownership.
Required Qualifications
- Bachelor's degree in Analytics, Economics, Engineering, Business Administration, or 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 solution...
Desired Qualifications
- Desirable experience in Power Apps, Power Automate and SAP Ariba", "Proficiency in BI tools (Power BI, SAP SAC, Datasphere) and process mining (Celonis)", "Python or R is a plus", "German is a plus
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