Data Analyst
KWS Berlin GmbH
Berlin, Germany
29 days ago
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Apply on www.jobs.de
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English, German
Job source
Tech stack
Business Analytics Applications
Data Analysis
Big Data
Data Governance
Database Queries
Python (Programming Language)
Power BI
SAP (Applications)
Microsoft Power Automate
SAP S/4HANA
SAP Ariba
Data Management
+2 more
Data Pipelines
Powerapps
Job description
KWS Berlin GmbH is looking for a Data 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 is unlimited and available on a full-time basis (38 hours/week) in Berlin. 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.
Requirements
- 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.
Benefits & conditions
- 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.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on www.jobs.de
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
EM
Eli McGarvie
about 3 years ago
LM
Luis Minvielle
The Biggest German Tech Companies
over 2 years ago
KD
Krissy Davis
Best Coding Boot Camps in Germany
over 3 years ago
EM
Eli McGarvie
Best Companies to Work For in Berlin: Top 14 Companies in 2023Â
over 3 years ago
LM
Luis Minvielle
The Most Popular IT Jobs on the Market
over 2 years ago
EM
Eli McGarvie
Data Analyst Salary in the UK
about 3 years ago