Role &amp; responsibilities
Exp in Process Mining with Celonis (Mandatory)
Preferred candidate profile
Process Mining, Low-Code Analytics &amp; 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
<ul>
<li>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.</li>
<li>Design, transform, and optimize data pipelines using SQL, Python, ETL (Alteryx, Knime), SAP B1/SAP ECC).</li>
<li>Develop frontend process dashboards to track metrics such as cycle time, rework, GRN delays, invoice mismatches, AR aging, DSO, delivery delays etc.</li>
<li>Support process optimization initiatives by conducting root-cause analysis, identifying bottlenecks/sources of inefficiency, and recommending corrective actions.</li>
<li>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</li>
<li>Identify opportunities for process optimization and automation (RPA/AI-enabled) based on mining and analytics outputs</li>
<li>Collaborate with crossfunctional teams (finance, supply chain, IT, operations) to drive timely completion of analytics deliverables.</li>
<li>Contribute to digital transformation and process intelligence initiatives through data-driven insights</li>
</ul>
Required Skills &amp; Tools
<ul>
<li>Process Mining: Celonis, Signavio, MPM/MPMx</li>
<li>Data Engineering: SQL, Python, ETL tools (Knime, Alteryx), SAP data modelling</li>
<li>Visualization: Tableau, Power BI, Qlik</li>
<li>Automation: Exposure to RPA tools (UI Path, Automation Anywhere), ML-assisted solutions</li>
<li>Process Documentation: BPMN, Visio, ARIS</li>
<li>Domain Knowledge: P2P, O2C, AR/AP, logistics, telecom services, vendor management, ITSM</li>
<li>Strong understanding of event logs, process models, conformance analysis, and KPI design</li>
</ul>
Preferred Experience
<ul>
<li>Experience in process mining and task mining implementations or analytics projects</li>
<li>Experience developing dashboards and process performance reporting solutions</li>
<li>Exposure to low-code analytics platforms for workflow development and data preparation</li>
<li>Basic exposure to predictive analytics / AI use cases in business processes</li>
<li>Internal Audit and Risk experience is highly preferred.</li>
</ul>

Opening with EY_ Celonis and Process Mining

Opening with EY_ Celonis and Process Mining

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