Data Analyst in Process Mining & AI supporting end-to-end finance processes. Collaborating with teams to analyze inefficiencies and implement improvements using technology.
Responsibilities
Support the implementation and execution of Process Mining technology and AI across our end-to-end finance processes.
Work closely with cross-functional teams to analyze process inefficiencies, derive data-driven, actionable insights, and implement improvement measures based on process mining insights.
Act as the technical expert for Process Mining advising Shared Service Center clients in 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 Key Performance Indicators based on business requirements.
Build solutions for process improvement using Artificial Intelligence, including GenAI or Agentic AI.
Requirements
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 professional experience in business process analysis or data science/data engineering.
Proven track record in implementing data or Process Mining tools (e.g., Python, Celonis).
Good knowledge of relational databases or programming, e.g., SQL.
Know-how in applying and integrating automation workflows (e.g., UiPath) as well as Artificial Intelligence (Large Language Models, Microsoft Co-Pilot Studio, etc.) is beneficial.
Experience working in shared services or finance operations is beneficial.
Solution-oriented thinking and data-driven mindset.
Attention to detail and accuracy.
Fluent English (written and verbal).
An additional language is an advantage to support group collaboration.
Certification as a technical expert in one of the leading Process Mining tools (e.g., SAP Signavio, Celonis, Aris, Mehrwerk), machine learning/artificial intelligence (e.g., Python, Microsoft Copilot Studio) or automation tools (e.g., UiPath) will be considered a strong advantage.
Certification in Agile, Scrum, or other recognized software development and project management frameworks will be considered a strong advantage.
Benefits
Private health insurance
Annual bonus
Public transport compensation
Referral bonus
Pet-friendly office with entertainment area
Team buildings and social events
Language courses and other development opportunities
4 trust days per year
Gamified monetary rewards for automation projects
Individualized competency development plan for your future career
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