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Risk Analytics- Process Mining - Digital Transformation and Analytics- Senior

Location:  Gurgaon
Other locations:  Anywhere in Country
Salary: Competitive
Date:  Apr 2, 2026

Job description

Requisition ID:  1696916

At EY, we’re all in to shape your future with confidence. 

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. 

Join EY and help to build a better working world. 

 

Process Mining - Digital Transformation and  Analytics

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 automation (RPA), AI/ML‑led enhancements, and digital transformation activities.

 

Key Responsibilities

  • Build and enhance process 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.
  • Assist in digital transformation workstreams, RPA opportunity identification, automation workflows, predictive modelling, and AI/ML‑enabled insights.
  • Support documentation creation: BPMN flows, TO‑BE designs, business requirements, UAT support, and process governance.
  • Collaborate with cross‑functional teams (finance, supply chain, IT, operations) to drive timely completion of analytics deliverables.
  • Participate in pre-sales support, value analysis, estimation, and business case preparation when needed.

 

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

 

Preferred Experience

  • Experience supporting digital transformation and operational excellence projects
  • Working with RFP inputs, pre-sales decks, program documentation
  • Predictive insights, automated notifications, and SLA monitoring

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