Opening with EY_ Celonis and Process Mining

EY; Pune District, Bengaluru, New Delhi; Hybrid; INR 1,500,000 - 3,000,000; Full time

Job summary

EY is seeking a Senior Analyst to drive end-to-end process mining across P2P, O2C, and AR/AP, plus analytics using low-code platforms and data visualization.

Role covers data engineering, KPI modelling, and AI-driven use cases for scalable process insights and decision support within a cross-functional team.

Qualifications

• Experience in end-to-end process mining using Celonis or similar tools.
• Strong data engineering capability: SQL, Python and ETL tooling.
• Ability to design dashboards with Tableau/Power BI/Qlik.
• RPA and ML-assisted approaches for process optimization.
• Domain knowledge in P2P, O2C, AR/AP, logistics and ITSM.

Responsibilities

• Build and enhance process mining data models with event logs and KPI design.
• Transform and optimize data pipelines using SQL, Python, ETL tools.
• Develop frontend dashboards to monitor cycle time, aging, and SLA adherence.
• Conduct root-cause analysis to identify bottlenecks and recommend actions.
• Create interactive visualizations and enable data-driven decision making.
• Identify opportunities for automation and AI-enabled improvements.
• Collaborate with finance, supply chain, IT, and ops to deliver analytics.

Skills

Celonis

Signavio

MPMx

SQL

Python

ETL Tools

SAP Data Modelling

Tableau

Power BI

Qlik

UI Path

Automation Anywhere

BPMN

Visio

ARIS

P2P/O2C/ARAP

Tools

Knime

Alteryx

SAP B1/ECC

Tableau

Power BI

Job description

Role & responsibilities

Exp in Process Mining with Celonis (Mandatory)

Preferred candidate profile

Process Mining, Low-Code Analytics & AI/Predictive

Experience: 4- 14 years

Role Summary

The Senior Analyst will support end-to-end process mining, ETL/data engineering, dashboarding, and process optimization initiatives across P2P, O2C, AP/AR, logistics, and operational processes. The role also expands to supporting analytics using low-code platforms and data visualization to enable scalable insights and performance tracking, while also contributing to predictive analytics and AI-driven use cases for advanced process insights and decision-making.

Key Responsibilities

• Build and enhance process and task mining data models using Celonis, SAP Signavio, MPM/MPMx, including case creation, event logs, activity mapping, conformance checks, and KPI modelling.
• Design, transform, and optimize data pipelines using SQL, Python, ETL (Alteryx, Knime), SAP B1/SAP ECC).
• Develop frontend process dashboards to track metrics such as cycle time, rework, GRN delays, invoice mismatches, AR aging, DSO, delivery delays etc.
• Support process optimization initiatives by conducting root-cause analysis, identifying bottlenecks/sources of inefficiency, and recommending corrective actions.
• Design and build interactive dashboards and visualizations using Power BI, Tableau, or Qlik to track process metrics such as cycle time, rework, delays, aging, and SLA adherence
• Identify opportunities for process optimization and automation (RPA/AI-enabled) based on mining and analytics outputs
• Collaborate with crossfunctional teams (finance, supply chain, IT, operations) to drive timely completion of analytics deliverables.
• Contribute to digital transformation and process intelligence initiatives through data-driven insights

Required Skills & Tools

• Process Mining: Celonis, Signavio, MPM/MPMx
• Data Engineering: SQL, Python, ETL tools (Knime, Alteryx), SAP data modelling
• Visualization: Tableau, Power BI, Qlik
• Automation: Exposure to RPA tools (UI Path, Automation Anywhere), ML-assisted solutions
• Process Documentation: BPMN, Visio, ARIS
• Domain Knowledge: P2P, O2C, AR/AP, logistics, telecom services, vendor management, ITSM
• Strong understanding of event logs, process models, conformance analysis, and KPI design

Preferred Experience

• Experience in process mining and task mining implementations or analytics projects
• Experience developing dashboards and process performance reporting solutions
• Exposure to low-code analytics platforms for workflow development and data preparation
• Basic exposure to predictive analytics / AI use cases in business processes
• Internal Audit and Risk experience is highly preferred.