Start Date
Immediate
Expiry Date
26 May, 25
Salary
0.0
Posted On
26 Feb, 25
Experience
0 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Computer Science, Mathematics, Process Automation, Machine Learning, Analytical Skills, It Consulting, Data Analysis, Sql, Working Experience, Steep Learning Curve, Programming Languages, Python, Communication Skills, Management Consulting
Industry
Information Technology/IT
We’re Celonis, the global leader in Process Mining technology and one of the world’s fastest-growing SaaS firms. We believe there is a massive opportunity to unlock productivity by placing data and intelligence at the core of business processes - and for that, we need you to join us.
THE QUALIFICATIONS YOU NEED:
ABOUT US:
Celonis helps some of the world’s largest and most esteemed brands make processes work for people, companies and the planet. With over 5,000 enterprise customer deployments across nearly every industry, the Celonis Process Intelligence Platform uses process mining and AI to give you a living digital twin of your business operation. It’s system-agnostic and without bias, and empowers companies to reduce waste, create value and benefit people across the top, bottom, and green lines. Since 2011, the Celonis platform has enabled its customers to identify more than $18 billion in value. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.
Get familiar with the Celonis Process Intelligence Platform by watching this video.
THE ROLE:
As a Consultant in our delivery organization, you are part of our agile project teams to accelerate our customers’ digital transformation and drive Celonis’ international expansion. To generate high-value use cases, you work closely with our customers. You perform data transformations, develop analyses and derive business cases. You develop data-driven process insights and actions. You implement the newest features and functionalities of the Celonis software, such as Process Automation, Task Mining and Machine Learning.
THE WORK YOU’LL DO:
Initiate:
Implement:
Adopt: