Staff Product Analytics Engineer
Celonis (company site, opens in a new tab)10+ yrsBengaluruOn-siteDirect career pageEst. 40–70 LPA
Posted on 31 Aug
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain scalable, resilient data infrastructure to support product analytics from diverse sources including enterprise systems, telemetry, and observability.
- Lead implementation of Celonis Digital Twin data foundation enabling strategic and tactical decision-making in a hyper-growth SaaS environment.
- Facilitate data-driven stakeholder discussions and provide analytic investigations to support business and product decisions through effective storytelling.
Minimum Requirements
- Bachelor's degree in Mathematics, Computer Science, or Data Science; Master’s or PhD preferred.
- 10+ years of relevant experience as Analytics Engineer/Data Engineer in SaaS or enterprise software environment.
- Extensive experience building scalable analytic data stacks within Databricks; experience with multi-cloud (GCP, AWS, Azure) is a significant plus.
- Mandatory experience partnering with product, engineering, or growth teams and building analytic repositories from cloud billing, product telemetry, and observability data.
Ideal Candidate Profile
- Senior technical expert comfortable leading data engineering projects and interfacing across product, engineering, and go-to-market teams.
- Experienced operating in hyper-growth, agile SaaS organizations with global and distributed teams.
- Strong outcome-driven decision maker with expertise in building data foundations that enable enterprise-scale AI-driven process intelligence.