About this role
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, and statistical thinking — who writes clean code, and who enjoys being close to the business and setting a higher standard of analytical and technical best practices.
The work you’ll do:
Analytics & Business Support
You'll partner with stakeholders across Finance and GTM operations to translate business questions into structured analyses and clear, well-reasoned recommendations. You'll help build the narratives and visuals that make complex data understandable, and contribute to the analytics priorities the team sets each quarter.
Advanced Analytics & Modeling
You'll build and maintain robust data and financial models, forecasting logic, and scenario analyses to support planning and decision-making. You'll develop and refine KPIs and performance metrics that give clear visibility into business drivers, and apply statistical methods and predictive modeling to anticipate trends and surface risks and opportunities early. We expect a high level of analytical rigor: sound methodology, clean assumptions, and results you can defend.
Data Products, Automation & AI
You'll build scalable, automated dashboards and data products that impr