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

KWS SAAT SE & Co. KGaA; Berlin; Vor Ort; EUR 55.000 - 75.000; Vollzeit

Benefits dieser Stelle

30 days holiday

Flexible working hours

Company pension

JobRad or Jobticket

Zusammenfassung

KWS Berlin GmbH is seeking a Data Analyst focused on Source-to-Pay to translate business needs into scalable analytics solutions and optimize data pipelines with governance and Master Data standards. The role is full-time in Berlin and involves cross-functional collaboration.

Ideal candidates bring experience in Procurement/Finance, S2P, MD governance, and strong SQL/BI skills (Power BI, Celonis). Fluent English and German is a plus.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

SQL

Power BI

Data analysis

Python

Ausbildung

Bachelor's degree in Analytics, Economics, Engineering, Business Administration, or related field

Tools

Power Apps

Power Automate

SAP Ariba

SAP S/4HANA

Celonis

Jobbeschreibung

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

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

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:

• 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 Bülowsträße 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.

KWS SAAT SE & Co. KGaA