KWS Berlin GmbH is hiring a Data Analyst focused on SAP S2P who translates business requirements into analytics solutions and operates and optimizes data pipelines with strong governance and master data standards. The role covers diagnostic and predictive analyses, KPI standards, process mining with Celonis, and monitoring of the Source-to-Pay analytics landscape. The position is unlimited and full-time (38 hours/week) in Berlin.
Gender markers in the title: (m/f/d)
In accordance with European anti-discrimination legislation, this job is open to all candidates
Mmale
Ffemale
Ddiverse
Responsibilities
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 (e.g., price/volume variance, 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 (e.g., 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 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
Desirable experience in Power Apps, Power Automate and SAP Ariba
Proficiency in BI tools (Power BI, SAP SAC, Datasphere) and process mining (Celonis)
Strong SQL skills; Python or R is a plus
Strong analytical mindset, attention to detail, and proactive approach
Fluent English; German is a plus
Conditions
International team of open-minded people with diverse and cross-functional experience
Interesting and challenging tasks and projects
Security of a large, stable company combined with the passion of a start-up
Modern location in the heart of Berlin-Schöneberg directly opposite the underground station with secured car and bicycle parking spaces
30d holidays, flexible working hours, holiday and Christmas bonuses, company pension scheme, JobRad and/or Jobticket
Support for professional and personal development of employees