Data Analyst focus on Source-to-Pay (mwd)

Data Analyst - focus on Source-to-Pay (m/w/d)

Field of Work:Data Management
Location:Berlin
Legal Entity:KWS Berlin GmbH
Contract Type: Regular
Is Full Time: Yes
Job ID: 16733

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

KWS Berlin GmbHis looking for aData Analyst with focus on Source-to-Pay (m/w/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 isunlimitedand available on afull-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:

• Bachelors 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.

We look forward to receiving your online application via our application system SuccessFactors! Please use the Apply function in the online advertisement.

About KWS

KWS is one of the worlds leading plant breeding companies and employs around 5000 employees in more than 70 countries. With the tradition of family ownership KWS has operated independently for more than 170 years. It focuses on plant breeding and the production and sale of seeds for sugarbeet corn cereals vegetables oilseed rape and sunflowers. KWS uses leading-edge plant breeding methods and invests a significant amount in research and development.

At KWS diversity is not just a value; it is an essential part of our success. Breeding resilient crops requires diversity; likewise our strength comes from the diversity of our teams. Whatever your background or identity is we invite you to join us.

Further information: Follow us on LinkedIn at data privacy policy for candidates is available on Please select the country where the job you applied for is posted in and if applicable the specific business unit.

Required Experience:

IC

Employment Type : Full Time
Experience: years
Vacancy: 1