PHOENIX Pharma SE
Business Process Manager R2R(m/w/x)
Full-timeWith HomeofficeExperienced
Mannheim, Bulgarien, Berlin
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PHPHOENIX Pharma SE
Data Analyst Process Mining & AI(m/w/x)
Mannheim
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
Implementing Process Mining and AI in finance for end-to-end P2P/O2C processes at a German pharma wholesaler. Process analysis or data engineering experience required. 30 days vacation, job bike, company pension scheme.
Requirements
- Degree in data science, IT, or related field
- Experience in process analysis or data engineering
- Beneficial experience with automation and AI technologies
- Analytical, solution-oriented, and detail-focused mindset
- Excellent communication and organizational skills
- Certifications in Process Mining or project management
- Degree in data science, IT, or related field
- Experience in process analysis or data engineering
- Beneficial experience with automation and AI technologies
- Analytical, solution-oriented, and detail-focused mindset
- Excellent communication and organizational skills
- Certifications in Process Mining or project management
Tasks
- Implement Process Mining and AI in finance
- Analyze end-to-end Purchase-to-Pay and Order-to-Cash processes
- Collaborate with teams to identify process inefficiencies
- Derive data-driven insights from process mining results
- Implement improvement measures based on hypothesis-driven analysis
- Advise Shared Service Center clients as a technical expert
- Integrate and transform organizational data for modeling
- Create customized Process Mining dashboards with KPIs
- Build AI-driven solutions using GenAI and Agentic AI
Work Experience
- 3 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SAP Signavio
- Celonis
- Mehrwerk
- Aris
- SQL
- UiPath
- LLMs
- Microsoft Copilot Studio
- Agile
- Scrum
- PMP
- PRINCE2
Benefits
Job Security
- Permanent employment contract
More Vacation Days
- 30 days of vacation
Company Bike
- Job bike
Retirement Plans
- Company pension scheme
Modern Equipment
- Mobile office
Flexible Working
- Flexible working time models
Career Advancement
- Career development opportunities
Learning & Development
- Further training courses
Team Events
- Team events
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of PHOENIX Pharma SE and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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PHPHOENIX Pharma SE
Data Analyst Process Mining & AI(m/w/x)
Mannheim
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
Implementing Process Mining and AI in finance for end-to-end P2P/O2C processes at a German pharma wholesaler. Process analysis or data engineering experience required. 30 days vacation, job bike, company pension scheme.
Requirements
- Degree in data science, IT, or related field
- Experience in process analysis or data engineering
- Beneficial experience with automation and AI technologies
- Analytical, solution-oriented, and detail-focused mindset
- Excellent communication and organizational skills
- Certifications in Process Mining or project management
- Degree in data science, IT, or related field
- Experience in process analysis or data engineering
- Beneficial experience with automation and AI technologies
- Analytical, solution-oriented, and detail-focused mindset
- Excellent communication and organizational skills
- Certifications in Process Mining or project management
Tasks
- Implement Process Mining and AI in finance
- Analyze end-to-end Purchase-to-Pay and Order-to-Cash processes
- Collaborate with teams to identify process inefficiencies
- Derive data-driven insights from process mining results
- Implement improvement measures based on hypothesis-driven analysis
- Advise Shared Service Center clients as a technical expert
- Integrate and transform organizational data for modeling
- Create customized Process Mining dashboards with KPIs
- Build AI-driven solutions using GenAI and Agentic AI
Work Experience
- 3 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SAP Signavio
- Celonis
- Mehrwerk
- Aris
- SQL
- UiPath
- LLMs
- Microsoft Copilot Studio
- Agile
- Scrum
- PMP
- PRINCE2
Benefits
Job Security
- Permanent employment contract
More Vacation Days
- 30 days of vacation
Company Bike
- Job bike
Retirement Plans
- Company pension scheme
Modern Equipment
- Mobile office
Flexible Working
- Flexible working time models
Career Advancement
- Career development opportunities
Learning & Development
- Further training courses
Team Events
- Team events
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of PHOENIX Pharma SE and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
PHOENIX Pharma SE
Industry
Healthcare
Description
Das Unternehmen ist der marktführende Pharmahändler in Deutschland und der beste integrierte Gesundheitsdienstleister Europas.
Not a perfect match?
- PHOENIX Pharma SE
Business Process Manager R2R(m/w/x)
Full-timeWith HomeofficeExperiencedMannheim, Bulgarien, Berlin - SOGEDES
Data Analyst(m/w/x)
Full-time/Part-timeWith HomeofficeExperiencedMannheim - HMS Analytical Software GmbH
Data Scientist / AI Engineer(m/w/x)
Full-time/Part-timeWith HomeofficeExperiencedHeidelberg, Berlin, Ulm - PHOENIX Pharma SE
Process Management Method and Tool Specialist(m/w/x)
Full-timeWith HomeofficeExperiencedFürth, Mannheim, Ostfildern - PHOENIX Pharma SE
Intern Operational Controlling Analytics(m/w/x)
Full-timeInternshipWith HomeofficeMannheimfrom 2,322 / month