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EY

Senior Risk Analytics – Process Mining, Process Mapping

EY

. Support end-to-end process mining, ETL/data engineering, dashboarding, and process optimization initiatives across P2P, O2C, AP/AR, logistics, and operational processes .

Posted 11/3/2026full-timeBengaluru • IndiaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in process mining and task mining, utilizing tools such as Celonis and Signavio to optimize operational processes. Proficient in developing data models, dashboards, and analytics solutions while collaborating with cross-functional teams to drive digital transformation initiatives.

Highest-signal resume keywords
Process Mining ExpertiseCelonis ProficiencySQL and Python DevelopmentDashboard Development with Tableau or Power BIBPMN 2.0 Process Mapping

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Process MiningTask MiningData ModelingSQLPythonETL ToolsDashboard DevelopmentKPI DesignRoot-Cause AnalysisData Quality Requirements
Soft Skills
Analytical SkillsProblem-Solving SkillsCommunication SkillsAttention to DetailTeam Collaboration
Tools & Technologies
CelonisSAP SignavioMPM/MPMxTableauPower BIKnimeAlteryxUI PathAutomation AnywhereBPMN
Industry Keywords
P2PO2CAP/ARLogisticsTelecom ServicesVendor ManagementITSMDigital TransformationProcess OptimizationRPA

Tech Stack

Tools & technologies
ETLITSMPythonRPASQLTableau

About the role

Key responsibilities & impact
  • Support end-to-end process mining, ETL/data engineering, dashboarding, and process optimization initiatives across P2P, O2C, AP/AR, logistics, and operational processes
  • Build and enhance process and task mining data models using Celonis, SAP Signavio, and MPM/MPMx
  • Create cases, event logs, activity mappings, conformance checks, and KPI models
  • Define case IDs, activities, timestamps, attributes, business rules, and data-quality requirements for event logs with business and technology stakeholders
  • Develop data pipelines, data models, and front-end dashboards on Celonis and Signavio
  • Implement OCPM data models and migrate existing CCPM models to OCPM
  • Design, transform, and optimize data pipelines using SQL, Python, ETL tools, and SAP systems
  • Develop dashboards tracking cycle time, rework, GRN delays, invoice mismatches, AR aging, DSO, delivery delays, and SLA adherence
  • Conduct root-cause analysis, identify bottlenecks and inefficiencies, and recommend corrective actions
  • Identify opportunities for process optimization and RPA/AI-enabled automation
  • Collaborate with finance, supply chain, IT, and operations teams to deliver analytics work
  • Facilitate stakeholder workshops to validate findings and align on problem statements, improvement actions, and future-state priorities
  • Create and maintain AS-IS and TO-BE process maps using BPMN 2.0 or other agreed standards
  • Contribute data-driven insights to digital transformation and process intelligence initiatives

Requirements

What you’ll need
  • 3–5 years of experience
  • Bachelor’s degree in computer science or related discipline; master’s degree preferred
  • 3–6 years of relevant experience in business process mining and task mining
  • BE, BTech, or MCA degree required
  • 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
  • Exposure to BPMN 2.0 process maps and developing AS-IS and TO-BE processes
  • Proficiency with Celonis, Signavio, MPM/MPMx
  • Proficiency with SQL, Python, ETL tools including Knime and Alteryx, and SAP data modelling
  • Proficiency with Tableau, Power BI, or Qlik
  • Exposure to RPA tools such as UI Path and Automation Anywhere and ML-assisted solutions
  • Knowledge of BPMN, Visio, and ARIS
  • Domain knowledge of P2P, O2C, AR/AP, logistics, telecom services, vendor management, and ITSM
  • Strong understanding of event logs, process models, conformance analysis, and KPI design
  • Strong analytical and problem-solving skills
  • Excellent oral and written communication skills
  • High attention to detail, particularly in risk, data accuracy, and control-oriented contexts
  • Ability to work collaboratively in a team environment

Benefits

Comp & perks
  • Competitive salary
  • Global scale, support, inclusive culture and technology
  • Career development opportunities
  • Opportunity to contribute to digital transformation and process intelligence initiatives