<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> Are you passionate about transforming data into powerful insights and driving smarter business decisions?<br/><br/><strong> KWS Berlin GmbH </strong>is looking for a <strong>Data Analyst with focus on Source-to-Pay (m/w/d)</strong> 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 is <strong>unlimited</strong> and available on a <strong>full-time basis (38 hours/week) in Berlin.<br/><br/></strong><strong>Your Responsibilities:<br/><br/></strong><ul><li>Translate business requirements into analytics solutions and collaborate across the full project lifecycle.</li><li>Operate and optimize data pipelines (ERP, S2P suite, AP, vendor master) with strong governance and master data management standards.</li><li>Perform diagnostic and predictive analyses to identify value levers (e.g., price/volume variance, payment term optimization).</li><li>Partner with cross-functional teams to define KPI standards, maintain data dictionaries, and ensure a single source of truth.</li><li>Support process mining and advanced analytics use cases (e.g., Celonis) to uncover inefficiencies.</li><li>Monitor and manage the Source-to-Pay (S2P) analytics landscape for stability, scalability, and compliance.</li><li>Drive adoption and change management for analytics solutions across S2P.</li><li>Build functional analytics capabilities within the S2P organization.<br/><br/></li></ul><strong>Your profile:<br/><br/></strong><ul><li>Bachelor’s degree in Analytics, Economics, Engineering, Business Administration, or related field.</li><li>Proven experience in Procurement, Finance, Source-to-Pay (S2P), or Spend Analytics environments.</li><li>Experience with Master Data Management (MDM), data governance frameworks, and data quality monitoring.</li><li>Solid understanding of Source-to-Pay processes and familiarity with SAP S/4HANA.</li><li>Experience working with large datasets and translating business requirements into scalable analytics solutions.</li><li>Desirable experience in Power Apps, Power Automate and SAP Ariba.</li><li>Proficiency in BI tools (Power BI, SAP SAC, Datasphere) and process mining (Celonis).</li><li>Strong SQL skills; Python or R is a plus.</li><li>Strong analytical mindset, attention to detail, and proactive approach.</li><li>Fluent English; German is a plus.<br/><br/></li></ul><strong>Our offer:<br/><br/></strong><ul><li>We are an international team of open-minded people with diverse and cross-functional experience;</li><li>Interesting and challenging tasks and projects;</li><li>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;</li><li>The best of both worlds: KWS Berlin combines the security of a large, stable company with the passion of a start-up;</li><li>Our location in the heart of Berlin-Schöneberg is very modern; directly opposite the underground station Bülowstraße and with secured car &amp; bicycle parking spaces;</li><li>We offer 30d holidays, flexible working hours, holiday and Christmas bonuses, company pension scheme, JobRad and/or Jobticket;</li><li>True to our motto "Make yourself grow", we support the professional and personal development of our employees.<br/><br/></li></ul>We look forward to receiving your online application via our application system SuccessFactors! Please use the "Apply" function in the online advertisement. </div>