Risk Analytics - Process Mining - Senior

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3–5 years

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.

• 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 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.
• Contribute to digital transformation and process intelligence initiatives through data-driven insights

• Data Engineering: SQL, Python, ETL tools (Knime, Alteryx), SAP data modelling

• Automation: Exposure to RPA tools (UI Path, Automation Anywhere), ML-assisted solutions

• Domain Knowledge: P2P, O2C, AR/AP, logistics, telecom services, vendor management, ITSM
• Strong understanding of event logs, process models, conformance analysis, and KPI design

• 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:

• Bachelor’s degree in computer science or related discipline; master’s degree preferred.
• 3–6 years of relevant experience Business process Mining, task mining.

• 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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