Job
- Level
- Experienced
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Onsite
Job Summary
In this role, you will translate business requirements into analytics solutions, operate and optimize data pipelines, and perform diagnostic and predictive analyses to enhance efficiency in the Source-to-Pay process.
Job Technologies
Your role in the 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.
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Our expectations of you
Education
- Bachelor's degree in Analytics, Economics, Engineering, Business Administration, or related field.
Qualifications
- 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.
Experience
- 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.
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What we 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 actively practiced 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 30 days of holiday, flexible working hours, holiday and Christmas bonuses, a company pension scheme, JobRad and/or Jobticket.
- True to our motto 'Make yourself grow', we support the professional and personal development of our employees.
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Benefits
Higher Take-Home Pay
Health, Fitness & Fun
Work-Life-Integration
Food & Drink
Topics You Will Work On
Job Locations
About Your Employer
KWS Group
KWS has been run independently as a family-owned company for more than 165 years. The company focuses on plant breeding and the production and sale of corn, sugarbeet, cereal, vegetable, rapeseed and sunflower seed.
Description
- Founding Year
- 1856
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Agriculture, Silviculture
Data Analyst - focus on Source-to-Pay
- Location
- Berlin
- Working Model
- Onsite
- Diversity
- Open for all genders
