Risk Analytics Process Mining Senior

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Process Mining Low-Code Analytics & AI/Predictive

Experience: 35 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.

To qualify for the role you must have:

• Bachelors degree in computer science or related discipline; masters degree preferred.
• 36 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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