Data Analyst Process Mining - Mannheim, Baden-Württemberg

Nur für registrierte Mitglieder Mannheim, Baden-Württemberg, Deutschland

vor 1 Tag

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29 countries. Around 49,000 colleagues. 70,000 pharmacies supplied and millions of patients: Join PHOENIX Support us in supplying the people of Europe with medicines and healthcare products quickly and reliably - and experience a job that is as diverse as it is important. Where y ...
Jobbeschreibung

29 countries. Around 49,000 colleagues. 70,000 pharmacies supplied and millions of patients: Join PHOENIX Support us in supplying the people of Europe with medicines and healthcare products quickly and reliably - and experience a job that is as diverse as it is important. Where you can proactively master challenges, implement ideas and drive change. Look forward to pure variety at a successful, future-proof family company, the market-leading pharmaceutical wholesaler in Germany and at the same time the best integrated healthcare provider in Europe.

We are looking for a Data Analyst Process Mining & AI (m/f/d) to join Corporate Business Services (CBS) within the Group CFO organization.

As a Data Analyst in Process Mining & AI, you will play a key role in driving process improvement initiatives and leveraging technology to deliver measurable results. The position requires a strong background in Process Mining, data science/engineering, and cross-functional collaboration, along with excellent analytical and communication skills.

Your Tasks

  • Support the implementation and execution of Process Mining technology and AI across end-to-end finance processes (Purchase-to-Pay, Order-to-Cash, Record-to-Report).
  • Work closely with cross-functional teams to analyze process inefficiencies, derive data‑driven insights, and implement improvement measures based on process mining results (exploratory and hypothesis-driven).
  • Act as the technical expert for Process Mining within a team of process and industry specialists advising Shared Service Center clients on end-to-end process improvement.
  • Implement the technical setup for Process Mining solutions, including data integration, transformation, and modeling of organizational data.
  • Create customized, state-of-the-art Process Mining dashboards with defined KPIs based on business requirements.
  • Build AI-driven solutions for process improvement, including GenAI and Agentic AI.

Your Profile

  • Degree (Bachelor's or Master's) in data science, information technology, business administration, or a related field, preferably with a focus on data analytics.
  • 3+ years of experience in business process analysis or data science/data engineering, including implementation of data or Process Mining tools (e.g., Python, SAP Signavio, Celonis, Mehrwerk or Aris) and good knowledge of SQL.
  • Beneficial experience with automation workflows (e.g., UiPath), AI technologies (LLMs, Microsoft Copilot Studio), and shared services or finance operations.
  • Strong analytical, solution‑oriented, and detail‑focused mindset with a data‑driven approach.
  • Excellent communication, organizational, and time‑management skills; fluent English, additional languages advantageous.
  • Certifications in Process Mining, AI/ML, automation tools, or project management frameworks (e.g., Agile, Scrum, PMP, PRINCE2) are a strong plus.

Our Benefits

  • Future-proof: We are growing and expanding. We are the market leader and offer you a permanent employment contract, vacation pay as well as 30 days of vacation and much more. (job bike, company pension scheme, etc.
  • Reconciliation of private and professional life: We offer mobile office and flexible working time models.
  • Career: We promote you There are great opportunities within the PHOENIX Group.
  • Continuing education: We would love to - we are happy if you are eager to learn. The PHOENIX Learning World offers you an exclusive range of further training courses.
  • Team: This is how we work. We promote team cohesion through small and large events.

Please apply online including your salary expectation and your earliest possible starting date. Your contact person is Mr. Erik Sabo. We are looking forward to your application

Apply



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