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Celonis

Process intelligence platform for end-to-end efficiency

Applied AI Solution Consulting Intern

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
InternshipMilan, Metropolitan City of Milan, ItalyNo salary listed

About the Job

Requirements

  • Be a student of Business Analytics, Industrial Engineering, Business Informatics, Technology and Management, Economics, Mathematics, or a comparable program.
  • Have experience in consulting and a strong interest in Data Analytics.
  • Have knowledge of SQL and Python or related database query languages.
  • Be fluent in English and Italian to support the Italian business development team and stakeholders.
  • Be available for six months as a full-time intern.

Responsibilities

  • Analyze business processes using the Celonis platform to expose operational inefficiencies.
  • Translate customer business challenges into technical requirements and build data-driven use cases within the Process Intelligence Platform.
  • Use Celonis data modeling, SQL/PQL, and native AI capabilities to generate insights and optimize enterprise-scale operations.
  • Evaluate and integrate Celonis solutions and AI features with customers’ broader enterprise technology roadmaps.
  • Convert data findings into financial metrics and prepare presentations that demonstrate the operational value of solutions.
  • Work with cross-functional project teams to present technical findings and data-backed recommendations to customer decision-makers.
  • Translate data-driven solutions into clear business value.

Desired Qualifications

  • Completion of Celonis Rising Star modules.

About the Company

Celonis

Process intelligence platform for end-to-end efficiency

Celonis builds a Process Intelligence platform that creates a digital twin of an organization's end-to-end processes by collecting data from multiple systems to map how work actually flows. Users from different departments can see bottlenecks, inefficiencies, and improvement opportunities in a system-agnostic view, enabling cross-functional collaboration. Its business model charges customers for platform usage and aims to help organizations accelerate digital transformation and achieve cost savings. Its goal is to help organizations streamline operations and realize measurable efficiency gains through data-driven process improvements.

Company size
1,001-5,000
Company stage
Series D
Total funding
$2.4B
Headquarters
Munich, Germany
Founded
2011

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