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SAP S2P Data Analyst (m/f/d)

Veröffentlicht am

Arbeitsort
10115 Berlin, Berlin, Deutschland

Stellenbeschreibung

Are you passionate about transforming data into powerful insights and driving smarter business decisions?

KWS Berlin GmbH is looking for a Data Analyst with focus on SAP S2P (m/f/d) who is keen on translating business requirements into analytics solutions and operating and optimizing data pipelines with strong governance and Master Data standards. This position is unlimited and available on a full-time basis (38 hours/week) in Berlin.

Your 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.

Your profile:

  • 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.

Our offer:

  • We are an international team of open-minded people with diverse and cross-functional experience;
  • Interesting and challenging tasks and projects;
  • As a family business, we are guided by the values of closeness, reliability, vision and independence; this culture is lived in practice and ensures an open and friendly working atmosphere from day one;
  • The best of both worlds: KWS Berlin combines the security of a large, stable company with the passion of a start-up;
  • Our location in the heart of Berlin-Schöneberg is very modern; directly opposite the underground station Bülowstraße and with secured car & bicycle parking spaces;
  • We offer 30d holidays, flexible working hours, holiday and Christmas bonuses, company pension scheme, JobRad and/or Jobticket;
  • True to our motto "Make yourself grow", we support the professional and personal development of our employees.