About the role

  • 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
  • 100€ for your home office.

Job title

Data Analyst – Process Mining, AI

Job type

Experience level

Mid levelSenior

Salary

€4,794 - €5,370 per month

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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