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About the Role

KWS Berlin GmbH is seeking a Data Analyst with a focus on SAP S2P to translate business requirements into analytics solutions and optimize data pipelines with strong governance and master data standards. This role is unlimited and full-time, based in Berlin.

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.

Skills

• SAP S2P
• Data Pipelines
• Master Data Management
• Data Governance
• Diagnostic Analyses
• Predictive Analyses
• KPI Standards
• Data Dictionaries
• Process Mining
• Celonis
• BI Tools
• Power BI
• SAP SAC
• Datasphere
• SQL
• Python
• R
• Power Apps
• Power Automate
• SAP Ariba

Location

• Berlin

Work Type

• Full-time
• Unlimited

Education Level

• Bachelor’s degree in Analytics, Economics, Engineering, Business Administration, or related field.

Benefits

• 30 days holidays
• Flexible working hours
• Holiday and Christmas bonuses
• Company pension scheme
• JobRad and/or Jobticket
• Support for professional and personal development

About the Company

• KWS Berlin GmbH is an international team of open-minded people with diverse and cross-functional experience.
• As a family business, KWS is guided by the values of closeness, reliability, vision and independence, fostering an open and friendly working atmosphere.
• KWS Berlin combines the security of a large, stable company with the passion of a start-up.
• The location in the heart of Berlin-Schöneberg is modern, located directly opposite the Bülowstraße underground station, with secured car & bicycle parking spaces.