Role & responsibilities

Exp in Process Mining with Celonis (Mandatory)

Preferred candidate profile

Process Mining, Low-Code Analytics & AI/Predictive

Experience: 4- 14 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
- Solid 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.

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