Senior Process Analyst - Celonis

Overview

Senior Process Analyst on the Celonis team at Springer Nature, a hybrid role combining Celonis front-end (Data Analyst) and back-end (Data Engineer) development to drive measurable business value across enterprise functions.

What you'll do

• Own end-to-end Celonis Studio development including PQL, Knowledge Models, Views, Action Flows, and Orchestration Engine workflows for both Case Centric and Object Centric processes.
• Build and customize Celonis apps, automations, and analytical dashboards to deliver actionable, data-driven insights, including process analysis leveraging Variant Explorer and OLAP components.
• Build AI-powered Celonis solutions using Process Copilot, Insight Explorer, and AI Annotation Builder to surface predictive insights and enable intelligent process automation.
• Design, develop, and maintain high-performance, scalable data pipelines using Data Jobs, Replication Cockpit, and Process Connector to connect Celonis to SAP, Salesforce, Marketo, SuccessFactors, and ServiceNow.
• Design event logs with correctly structured Activity and Case tables as the foundation of process mining data models; apply best practices in ETL/ELT to ensure data accuracy and transformation efficiency.
• Leverage Celonis Extractor Builder and Data Push API for custom source system integrations where Process Connectors are unavailable.
• Develop and enforce data quality and governance processes to ensure data accuracy, completeness, and integrity across all models.
• Apply Data Explorer for pipeline validation and troubleshooting.
• Provide ongoing support, troubleshooting, and maintenance for Celonis applications and data pipelines, ensuring high system availability.
• Optimize large-scale data processing systems for performance, scalability, and long-term reliability.
• Act as Subject Matter Expert for process mining, applying deep domain knowledge to identify use cases, frame business value, and prioritize improvement opportunities.
• Lead the identification, scoping, and implementation of process improvement initiatives from discovery through to deployment.
• Define and track KPIs and success metrics to measure the impact of process improvement initiatives.
• Produce clear documentation of solutions, data models, and workflows to enable knowledge transfer and long-term maintainability.
• Partner with process owners, business stakeholders, and data scientists to translate business requirements into scalable Celonis solutions and automated workflows.
• Work with integration and platform teams to connect automation solutions with existing enterprise systems, ensuring smooth data flow and interoperability.
• Communicate findings, recommendations, and solution designs clearly to both technical and non-technical audiences including senior leadership.
• Support change management efforts by driving adoption of new automated workflows and process changes across impacted teams.

What you'll need

• 5+ years in a process analytics / data engineering role.
• Celonis Studio: PQL, Knowledge Models, Views, Action Flows, Orchestration Engine.
• Celonis Data Integration: Data Jobs, Replication Cockpit, Process Connectors, OCPM.
• Python scripting for data manipulation and pipeline automation.
• Strong SQL / ETL-ELT data modelling skills.
• Experience with SAP, Salesforce and other ERP systems data.
• Proven end-to-end process mining project delivery.
• Celonis Certified Data Analyst and/or Celonis Certified Data Engineer.
• Familiarity with Agile / sprint delivery.

Nice to have

• Experience with Object-Centric Process Mining (OCPM).
• Prior CI / Lean Six Sigma exposure.
• Experience with cloud platforms (Azure, AWS, or GCP).
• Familiarity with Celonis AI features: Process Copilot, Insight Explorer, AI Annotation Builder.
• Experience with Process Designer / Process Navigator.

Details

• Location: Pune.
• Hybrid role.