RC-DR-Risk Analytics-Manager

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EY – Risk Consulting – Manager (Risk Analytics)

As part of our Digital Risk (DR) team within Risk Consulting, we are seeking a Manager with strong business understanding, analytical capability and hands‑on experience in process mining and data analytics to join the DR team and work with our clients on some of the most prestigious projects catering to various sectors across the MENA region. This is an excellent opportunity to join a leading consulting practice and contribute to shaping next‑generation digital and analytics‑driven risk solutions.

The opportunity

As a Manager, you will engage with clients to strengthen their digital risk posture by bridging business requirements with technical capabilities. You will work on engagements across advanced analytics, data visualization, automation, data governance, process mining, etc. ensuring solutions are aligned with organizational objectives, regulatory expectations and leading practices.

You will work with multi‑disciplinary teams across data, tech and business functions to design, assess and implement analytics‑enabled risk processes and governance structures.

This position will be based out of our offices (Kochi/ Thiruvananthapuram) in the state of Kerala.

Your key responsibilities

• Design, develop and oversee the deployment of process mining dashboards using platforms such as Celonis and Power BI to analyze and optimize processes.
• Perform and validate deep-dive analysis on core business processes, identifying bottlenecks, root causes and improvement opportunities.
• Develop and review root-cause-driven insights and actionable recommendations to improve efficiency, quality and compliance.
• Extract, transform and prepare data from ERP and business applications (SAP, Oracle, Dynamics, Salesforce, Workday, etc.) to support process mining and analytics initiatives.
• Design and develop ETL/ELT pipelines using SQL, Python and data integration tools to create process mining event logs and reporting datasets.
• Perform data mapping, data modelling and process event reconstruction to enable end-to-end process visibility.
• Support the onboarding of new data sources into process mining platforms such as Celonis, Signavio and ARIS.
• Validate process mining datasets through reconciliation, completeness checks and data quality assessments.
• Assist in developing process mining use cases, KPIs and dashboards by leveraging transactional and master data from enterprise systems.
• Lead a team of Senior Consultants and independently drive client discussions and communications.
• Groom junior resources and participate in business development activities.
• Provide timely and constructive feedback to junior staff and manage team/individual KPIs and other performance metrices.

Skills and attributes for success

• Hands-on experience with:
• Process Mining & Analytics
  • Experience with Celonis, Signavio, ARIS Process Mining or similar platforms preferred.
  • Candidates with strong SQL, ETL, Data Engineering or Data Analytics experience and willingness to learn Process Mining are encouraged to apply.
  • Understanding of business process analysis, workflow optimization and operational excellence concepts.
• Data Engineering & Integration
  • Strong SQL skills including complex joins, stored procedures, views and performance optimization.
  • Experience developing ETL/ELT pipelines using SQL, Python, SSIS, Informatica, Talend, Azure Data Factory, Alteryx or similar tools.
  • Experience working with large transactional datasets from ERP and enterprise applications.
  • Understanding of data modelling, data lineage, data transformation and data quality concepts.
• Programming & Analytics
  • Python, SQL, PQL (preferred), R (optional).
  • Data analysis, automation and scripting experience.
  • Exposure to machine learning and statistical analysis is advantageous.
• Dashboarding & Visualization
  • Power BI, Tableau, Qlik or similar BI platforms.
• Enterprise Platforms
  • SAP, Oracle, Microsoft Dynamics, Salesforce, Workday, Azure, AWS, GCP or similar enterprise ecosystems.

To qualify for the role, you must have

• Bachelor’s/Master’s degree in computer science, data science or a related field.
• 8 to 10 years of experience in one or more of the following areas:
  • Process Mining
  • Data Analytics
  • Data Engineering
  • Business Intelligence
  • Process Improvement
• Experience working with Big4 is a strong advantage.
• A valid passport for travel.

Preferred Experience

• Experience creating event logs and process datasets from SAP, Oracle, Dynamics 365 or other ERP platforms.
• Exposure to process mining concepts such as event logs, case IDs, process variants, conformance checking and root cause analysis.
• Knowledge of process mining platforms such as Celonis, SAP Signavio or ARIS is desirable but not mandatory.
• Experience with data integration, data warehousing and cloud-based analytics platforms.
• Understanding of Order-to-Cash (O2C), Procure-to-Pay (P2P), Record-to-Report (R2R), HR or similar business processes.

What working at EY offers

At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are.

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around.
• Opportunities to develop new skills and progress your career.
• The freedom and flexibility to handle your role in a way that is right for you.

EY | Building a better working world

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