Staff Product Analytics Engineer
Leads the design and development of scalable analytic data infrastructure, including the foundation for Celonis’s Digital Twin. Requires 10+ years of analytics or data engineering experience, enterprise Databricks expertise, and strong stakeholder communication.
About the job
Responsibilities
- Partner with product, engineering, and go-to-market teams to understand analytics needs and define data engineering requirements.
- Design, build, and maintain resilient data infrastructure integrating enterprise systems, communication tools, product telemetry, and observability systems.
- Ensure continuous, reliable data flows supporting product analytics.
- Build a scalable platform supporting Celonis as a Digital Twin and enabling internal use of Celonis solutions.
- Refine data engineering processes to improve data accuracy, consistency, and integrity through ongoing audits and reviews.
- Conduct analytic investigations to answer business questions and inform product and engineering initiatives.
- Facilitate data-driven discussions through effective storytelling and actionable insights.
- Provide technical leadership across the data ecosystem and analytic infrastructure.
Requirements
- Bachelor's degree or equivalent in Mathematics, Computer Science, Data Science, or a related field.
- 10+ years of relevant experience as an Analytics Engineer, Data Engineer, or similar role.
- Experience partnering with product, engineering, or growth teams at a SaaS or enterprise software company.
- Experience building analytic data repositories using cloud billing, product telemetry, and observability data.
- Extensive experience building scalable data stacks with Databricks in an enterprise environment.
- Strong decision-making, prioritization, communication, and attention-to-detail skills.
- Experience working in agile teams and using collaboration tools such as Jira.
- Ability to work effectively with diverse, international teams.
Nice to Have
- Master's degree or PhD.
- Experience with multi-cloud environments across Google Cloud, AWS, and Microsoft Azure.
Compensation and Benefits
- Restricted Stock Units and merit-based refresh grants for full-time employees.
- Flexible hybrid work model, with regionally applicable unlimited PTO and generous global PTO.
- Paid parental leave, including 24 weeks for primary carers and 12 weeks for supporting carers.
- Learning and development programs, mentorship, and access to a dedicated learning platform.
- Subsidized Wellhub memberships, mental health counseling, and Wellness Weeks.
- Paid annual Impact Days for community and environmental volunteering.
Skills
Databricks, GCP, AWS, Microsoft Azure, Data Engineering, Product Analytics, Data Infrastructure, Product Telemetry, Observability, Jira
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