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Analytics Engineer — Data Analytics & Transformation (DAT)

Celonis
Bengaluru, IND
Full-time
Mid · 2–4 years experience
Hybrid
Discovered 2 weeks ago

Full Job Posting

The Work You'll Do

Turn business questions into structured analyses and clear, actionable recommendations, with stories and visuals that non-experts can follow.

Define and refine KPIs, and use statistical and predictive methods to spot trends, risks and opportunities early. Your methodology should hold up when challenged.

Build automated dashboards and self-service data products that replace manual reporting.

Write tested, version-controlled code, and use AI tooling (copilots, agents, workflow automation) to cut manual effort.

Own data quality, consistency and governance for the datasets you work on.

What You Bring

2–4 years in analytics engineering, data/business analytics, BI development or a similar role.

Strong SQL and confidence with large, complex datasets.

Hands-on Python for analysis, automation and statistical/predictive modeling.

Practical experience using AI in analytics workflows.

A solid grasp of statistics and attention to methodological detail.

Software engineering habits (version control, testing, documentation) and experience with BI/visualization tools.

The ability to explain data clearly to non-technical stakeholders, and examples of your work shaping decisions in a business function.

A degree in Computer Science, Engineering, Mathematics, Statistics, Economics or a related quantitative field.

What Celonis can offer you

Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations.

Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants.

Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment.

Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration.

Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform.

Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance.

Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually.

Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued.

Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision.

About Us

Celonis is the trusted platform to industrialize Enterprise AI, empowering organizations to analyze, design, and operate AI-driven processes. The Celonis Platform is powered by the Celonis Context Model, which combines process data, business knowledge, and intelligence to create a living digital twin of the enterprise that AI can understand — turning AI’s operational blind spots into operational clarity. Industry-leading companies around the world trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.

Get familiar with the Celonis Process Intelligence Platform by watching this video .

Celonis Inclusion Statement

At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen.

Your Privacy

Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices

By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process .

Use of Artificial Intelligence Tools We rely on an artificial intelligence tool to match the information from your resume to the relevant Celonis job descriptions. This processing is limited to the information provided in your resume or in your candidate profile. The tool produces a match score per candidate for a role, suggests preliminary ranking, and provides recommendations. The tool is only used for support in parts of the job application process, including to facilitate the identification of the relevant Celonis Jobs for candidates and recruiters. All final decisions are made by hiring managers and the Celonis talent acquisition team. Hiring managers and HR specialists use this tool responsibly, are aware of the risk of potential bias, and are equipped to mitigate it.

Please be aware of common job offer scams, impersonators and frauds. Learn more here .

Requirements

  • 2–4 years in analytics engineering, data/business analytics, BI development or a similar role.
  • Strong SQL and confidence with large, complex datasets.
  • Hands-on Python for analysis, automation and statistical/predictive modeling.
  • Practical experience using AI in analytics workflows.
  • A solid grasp of statistics and attention to methodological detail.
  • Software engineering habits (version control, testing, documentation) and experience with BI/visualization tools.
  • The ability to explain data clearly to non-technical stakeholders, and examples of your work shaping decisions in a business function.
  • A degree in Computer Science, Engineering, Mathematics, Statistics, Economics or a related quantitative field.

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