Risk Analytics - Process Mining - Senior

EY; Coimbatore District; On-site; INR 1,400,000 - 2,100,000; Full time

Job summary

EY in India seeks a Senior Analyst to lead end-to-end process mining, data engineering, and analytics across P2P, O2C, and logistics. You’ll build data models, design pipelines, and craft dashboards to enable scalable insights and performance tracking.

The role emphasizes collaboration with finance, IT, and operations, applying low-code analytics and AI-enabled approaches to drive process improvements and risk awareness. BE/BTech/MCA preferred.

Qualifications

• Bachelor’s degree in CS or related field; master’s preferred.
• 3–6 years of experience in business process mining and analytics.
• Knowledge of Celonis/Signavio and data engineering concepts.

Responsibilities

• Build and optimize process/mining data models and KPI dashboards.
• Design data pipelines using SQL/Python and ETL tools.
• Create interactive dashboards with Power BI/Tableau/Qlik.
• Collaborate with cross-functional teams to deliver analytics.
• Identify bottlenecks and suggest corrective actions.
• Support predictive analytics and AI use cases in processes.

Skills

Process Mining

Data Engineering

Visualization

Automation

Process Documentation

Domain Knowledge

KPI Design

Education

Bachelor's degree in computer science or related discipline

Master's degree preferred

Tools

Celonis

Signavio

MPMx

SQL

Python

ETL tools

Knime

Alteryx

Tableau

Power BI

Qlik

RPA tools

BPMN

Visio

ARIS

SAP data modelling

Job description

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Process Mining, Low-Code Analytics & AI/Predictive

Experience: 3–5 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 front‑end 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 cross‑functional 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.
  
  

To qualify for the role, you must have:

• Bachelor’s degree in computer science or related discipline; master’s degree preferred.
• 3–6 years of relevant experience Business process Mining, task mining.
  
  

What We Look For

• Working collaboratively in a team environment
• Excellent oral and written communication skills
• High attention to detail, particularly in risk, data accuracy, and control-oriented contexts.
• Strong analytical and problem-solving skills
• BE, BTech, MCA degree required.
  
  

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