Make, Prague, Czechia +1
What matters most
Years of experience alone don’t determine success here. We care most about what you can build, how you think and the impact you deliver.
If you see a match, let us know and apply now!
🤝 We roll together - We practice radical candor, challenge ideas openly, and use feedback to get better together.
🚀 Customer impact first - We get things done with craftsmanship, focus on outcomes, raise the bar, and create real customer impact.
⚽ Game on! - We take extreme ownership, move fast, and embrace change as opportunity.
For more, feel free to check out our Life at Make Instagram, Meet-up page, or YouTube to get a sense of the vibe.
At Make, we know that exceptional work comes from people who bring different perspectives and experiences. We build a place where everyone feels welcome, heard, and empowered to create, contribute, grow and make an impact. We encourage people of all backgrounds, identities, abilities, and experiences to apply. Our hiring decisions are based on your qualifications, skills, merit, and the needs of our business. We have zero tolerance for discrimination or harassment of any kind.
Accessibility and Candidate Notices
Make is the platform to manage all your automations and AI agents in one visual landscape – for teams driving business impact without relying on developers. Part of Celonis, a global leader in process intelligence recognized on the Forbes Cloud 100 for seven consecutive years, we're headquartered in Prague, Czechia, with hubs in Madrid, Munich, Raleigh, and Pristina, and teams across the UK, France, India, and the Netherlands, among other locations.
At Make, we’re moving away from manual dashboards and repetitive ad-hoc data requests toward AI-powered self-service analytics, where anyone in the company can ask a question and get a trusted answer on their own. We’re looking for an Analytics Engineer to help lead that shift.
This isn’t a pure backend role. You’ll sit between data engineering, analytics and the business. You’ll build the models and context that make data reliable, and the AI tools that make it accessible.
Source: the Make Greenhouse job board. We last checked this job 4 h ago. We first saw it 4 h ago. A job on a job board does not always mean that the team interviews people now. We found this job board in a public list. We did not yet compare it with the careers page of the company.
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