Analytics Engineer

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet.

The Team:

You'll join the Data & Transformation (DAT) team, part of the Strategic Intelligence & Business Partner pillar. DAT is responsible for elevating data-driven decision-making across Finance and our go-to-market functions. This is an engineering role embedded close to the business: you'll write real code and build data products, but you'll also sit with the stakeholders you serve. We're raising the technical and analytical bar of the function — moving from descriptive reporting toward predictive, prescriptive, and AI-augmented insights — and we want people who help push that standard higher.

The Role:

We're looking for a highly analytical Analytics Engineer to strengthen how the team turns financial and operational data into insight. Working alongside senior analysts and business partners, you will build models, analyses, and automated data products that support smarter decisions and better performance across Finance, adoption, and GTM operations. This is a hands-on, technical role for someone who is genuinely strong with data — SQL, Python

Department: Corporate