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Celonis

Process intelligence platform for end-to-end efficiency

Staff Product Analytics Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaIn-person

About the Job

Requirements

  • A bachelor's degree or equivalent with a strong focus on Mathematics, Computer Science, or Data Science is required.
  • At least 10 years of relevant experience as an Analytics Engineer, Data Engineer, or similar, partnering with product, engineering, or growth teams at a SaaS or enterprise software company is required.
  • Experience building analytic data repositories using data sources from cloud billing, product telemetry, and observability systems is required.
  • Extensive experience building a scalable data stack within Databricks in an enterprise context is required.
  • Strong decision-making skills and the ability to prioritize multiple objectives while meeting aggressive deadlines are required.
  • Excellent written and verbal communication skills and exceptional attention to detail are required.
  • Experience working in agile teams using collaboration software such as Jira or similar is required.

Responsibilities

  • Engage with stakeholders from product, engineering, and go-to-market teams to understand analytic needs, identify underlying data engineering requirements, and help build the core technical foundations needed to support Celonis analytics.
  • Design, build, and maintain resilient data infrastructure that gathers data from enterprise systems, communication tools, product telemetry, and observability systems, ensuring the continuous and reliable flow of data needed to support product analytics activities.
  • Build a scalable platform that can support Celonis as a Digital Twin and apply Celonis solutions internally.
  • Continuously refine data engineering processes to ensure data accuracy, consistency, and integrity through ongoing audits and reviews.
  • Conduct in-depth analytic investigations to answer business questions or support the case for product or engineering ideas.
  • Provide technical leadership to design, build, and maintain a data ecosystem for analytic needs.
  • Define and create analytic infrastructure and facilitate data-driven discussions between stakeholders across the organization through storytelling with meaningful insight.

Desired Qualifications

  • Hands-on experience working with a multi-cloud setup across GCP, AWS, and Azure is a strong plus.
  • A master's degree or PhD is preferred.

About the Company

Celonis

Process intelligence platform for end-to-end efficiency

Celonis builds a Process Intelligence platform that creates a digital twin of an organization's end-to-end processes by collecting data from multiple systems to map how work actually flows. Users from different departments can see bottlenecks, inefficiencies, and improvement opportunities in a system-agnostic view, enabling cross-functional collaboration. Its business model charges customers for platform usage and aims to help organizations accelerate digital transformation and achieve cost savings. Its goal is to help organizations streamline operations and realize measurable efficiency gains through data-driven process improvements.

Company size
1,001-5,000
Company stage
Series D
Total funding
$2.4B
Headquarters
Munich, Germany
Founded
2011

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