Senior Risk Analytics - Process Mining

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. Process mining is the primary capability for this role. Process mapping and process management are secondary capabilities used to validate findings, document AS-IS and TO-BE processes, and embed improvements through governance, controls, and stakeholder alignment.

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.
• Work with business and technology stakeholders to define case IDs, activities, timestamps, attributes, business rules, and data-quality requirements for event logs.
• Develop data pipelines, data models, and front-end dashboards on Celonis/Signavio.
• Implement OCPM data models and migrate existing CCPM models to OCPM.
• 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.
• Facilitate stakeholder workshops to validate data-driven 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 as supporting documentation for process-mining findings.
• 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
• Exposure to BPMN 2.0 process maps and developing the AS-IS and TO-BE processes

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 in business process mining and 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