Data Analyst S2P (m/f/d)

Field of Work: Data Management

Location:

Berlin, BE, DE

Legal Entity: KWS Berlin GmbH

Contract Type: Regular

Is Full Time?:

Onsite/ Remote: Hybrid Working Within Country

Job ID: 16195

KWS Berlin is looking for a Data Analyst S2P (m/f/d) who enjoys translating business requirements into impactful analytics solutions and continuously enhancing data pipelines within strong governance and Master Data Management standards.

Don't miss this great opportunity - perform insightful diagnostics and analyses, unlock value potential, and drive meaningful improvements—while collaborating with cross-functional teams to define and elevate KPI standards across the organization.

This is a fixed-term position of two years and available in full-time.

The place of work is Berlin.

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 MDM 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 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

Requirements:

• Bachelor’s degree in Analytics, Economics, Engineering, Business Administration, or related field
• Experience in procurement or finance combined with BI analytics and data-driven decision-making
• Solid understanding of Source-to-Pay processes and familiarity with ERP systems
• Proficiency in BI tools (Power BI, SAP SAC, Datasphere) and process mining (Celonis)
• 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:

• Interesting and varied job in a diverse international environment with the opportunity to contribute innovative ideas
• 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
• Excellent work equipment and free car and bicycle parking spaces in our modern office in the heart of Berlin-Schöneberg
• We create the appropriate framework conditions for you: capital-forming benefits, Christmas and holiday pay, childcare allowance, 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 are looking forward to your application using our online application system SuccessFactors! Please click the “Apply” button which you can find in the online ad.

About KWS

KWS is one of the world’s leading plant breeding companies. Nearly 5,000 employees in more than 70 countries generated net sales of around €1.68 billion in the fiscal year 2023/2024. A company with a tradition of family ownership, KWS has operated independently for almost 170 years. It focuses on plant breeding and the production and sale of seed for sugarbeet, corn, cereals, vegetables, oilseed rape and sunflower. KWS uses leading-edge plant breeding methods to continuously improve yield for farmers and plants’ resistance to diseases, pests and abiotic stress. To that end, the company invested more than €300 million last fiscal year in research and development. For more information: www.kws.com/career . Follow us on LinkedIn® at https://linkedin.com/company/kwsgroup/ .
Our data privacy policy for candidates is available on www.kws.com/dataprotection . Please select the country where the job you applied for is posted in and, if applicable, the specific business unit.

Job Segment: Data Analyst, ERP, Change Management, Data Management, Data, Bilingual, Technology, Management