EY
Website:
ey.com
Company:
https://www.linkedin.com/company/ernstandyoung
Seniority: Mid-Senior level
Industries: Professional Services
Job details:
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
Process Mining, Low-Code Analytics & AI/Predictive
Experience: 3–5 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 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
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:
- Bachelor’s degree in computer science or related discipline; master’s degree preferred.
- 3–6 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.
EY | Building a better working world
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
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