Staff Product Analytics Engineer

📋 Description

• Engage with stakeholders from product, engineering, and GTM teams to understand the analytic needs
• Design, build and maintain resilient data infrastructure that gathers data from a variety of
• Build a scalable platform which can support Celonis as a Digital Twin and apply the Celonis
• Continuously engage in refining data engineering processes to ensure data accuracy, consistency
• Conduct in-depth analytic investigations to find answers to business questions or support making

🎯 Requirements

• Bachelor's degree or equivalent with a strong focus on Mathematics, Computer Science, or Data
• 10+ years relevant experience as an Analytics Engineer / Data Engineer or similar, partnering with
• Experience with data engineering building analytic data repositories leveraging data sources from
• Extensive experience building a scalable data stack within Databricks in an Enterprise Context.
• Hands-on experience working with multi-cloud setup across GCP, AWS and Azure will be a huge plus.
• Outcome-oriented with strong decision-making skills and the ability to prioritize multiple

🎁 Benefits

• Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence
• Ownership from Day 1: Every full-time 'Celonaut' is an owner, receiving Restricted Stock Units
• Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid
• Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as
• Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship
• Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health