Analytics Engineer — Data Analytics & Transformation (DAT)

About this job

As an Analytics Engineer at Celonis in Bangalore, you will work within the Data Analytics and Transformation team to build data products, write clean SQL and Python, and collaborate directly with business stakeholders across Sales, Product, Engineering, Finance, and Commercialization. You will translate complex business questions into structured analyses, define KPIs, and move teams from descriptive reporting toward predictive, prescriptive, and AI-augmented insights. Celonis provides a trusted platform that combines process data, business knowledge, and intelligence into a living digital twin of the enterprise, helping organizations industrialize Enterprise AI. Your normal day involves writing tested code, automating manual reporting through dashboards, using AI tooling, and ensuring data quality while communicating insights effectively to non-technical partners.

Responsibilities

• Transform business questions into structured analyses and clear, actionable recommendations.
• Define and refine KPIs using statistical and predictive methods to spot early trends and risks.
• Build automated dashboards and self-service data products to replace manual reporting.
• Write tested, version-controlled code and use AI tooling to reduce manual effort.
• Own data quality, consistency, and governance for assigned datasets.
• Collaborate directly with business stakeholders across Sales, Product, Engineering, Finance, and Commercialization.

Requirements

• 2 to 4 years of experience in analytics engineering, data or business analytics, BI development, or a similar role.
• Strong SQL skills and confidence working with large, complex datasets.
• Hands-on Python experience for analysis, automation, and statistical or predictive modeling.
• Practical experience using AI in analytics workflows.
• Solid grasp of statistics and attention to methodological detail.
• Software engineering habits including version control, testing, and documentation.
• Experience with BI and visualization tools, alongside the ability to explain data clearly to non-technical stakeholders.

Good to have

• Prior work shaping decisions in a business function through data.

Who should apply

This role suits analytical professionals with 2 to 4 years of experience in analytics engineering, business intelligence, or data analytics who enjoy partnering directly with business teams. If you possess strong SQL and Python skills, practical knowledge of AI workflows, and the ability to turn complex datasets into clear stories for non-technical stakeholders, you will thrive in this position. Freshers are not eligible as 2 to 4 years of relevant experience is required.

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