or apply directly on Celonis's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 16 days Celonis's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 0% of Celonis's roles list one
- Ghost-job risk at Celonis
- low 0 stale, 9 reposted of 283 open
- Hiring momentum
- 370 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Celonis's own greenhouse board since 2026-08-03. Full hiring picture for Celonis.
About this role
As a Staff Product Analytics Engineer at Celonis, you will define and build the analytic infrastructure necessary for strategic decision-making in a rapidly growing environment. Your role involves engaging with various stakeholders to understand analytic needs, designing and maintaining resilient data infrastructure, and conducting in-depth analytic investigations. You will also facilitate data-driven discussions and ensure the integrity and accuracy of data used for analytics.
- benefits
- 4/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Celonis as an employer.
What you need
- Bachelor's degree or equivalent with a strong focus on Mathematics, Computer Science, or Data Science
- 10+ years relevant experience as an Analytics Engineer / Data Engineer or similar
- Experience with data engineering building analytic data repositories
- Extensive experience building a scalable data stack within Databricks
- Hands-on experience working with multi-cloud setup across GCP, AWS and Azure
- Strong decision-making skills and ability to prioritize multiple objectives
Nice to have
- Master's or PhD preferred
- Eager to work in a fast-growing organization with diverse and international teams
What you get
- Restricted Stock Units (RSUs) and merit-based refresh grants
- 24 weeks of fully paid parental leave for primary carers and 12 weeks for supporting carers
- Unlimited PTO and generous PTO globally
- Flexible hybrid work model
- 70-20-10 learning framework and mentorship programs
- Subsidized Wellhub memberships and mental health counseling
Worth weighing
- No salary listed
- Focus on building a data ecosystem in a hyper growth environment may imply high pressure
- Experience with specific cloud platforms (GCP, AWS, Azure) may be necessary for success
Summarised from Celonis's posting. Read the full original.
Listed by Celonis on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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