Job
- Level
- Erfahren
- Job Feld
- BI, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Berlin
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In dieser Position entwickelst du analytische Lösungen aus Geschäftsanforderungen, betreibst und optimierst Datenpipelines und führst diagnostische sowie prädiktive Analysen durch, um Effizienz im Source-to-Pay-Prozess zu steigern.
Job Technologien
Deine Rolle im Team
- 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.
Unsere Erwartungen an dich
Ausbildung
- Bachelor's degree in Analytics, Economics, Engineering, Business Administration, or related field.
Qualifikationen
- Solid understanding of Source-to-Pay processes and familiarity with SAP S/4HANA.
- 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.
Erfahrung
- 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.
- Experience working with large datasets and translating business requirements into scalable analytics solutions.
- Desirable experience in Power Apps, Power Automate and SAP Ariba.
Unser Angebot
- 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.
Benefits
Mehr Netto
Gesundheit, Fitness & Fun
Work-Life-Integration
Essen & Trinken
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
KWS Group
Seit über 165 Jahren wird KWS als familiengeprägtes Unternehmen eigenständig und unabhängig geführt. Schwerpunkte sind die Pflanzenzüchtung und die Produktion sowie der Verkauf von Mais-, Zuckerrüben-, Getreide-, Gemüse-, Raps- und Sonnenblumensaatgut.
Description
- Gründungsjahr
- 1856
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Land-, Forstwirtschaft
Data Analyst - focus on Source-to-Pay
- Ort
- Berlin
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
