EYRC-DR-Risk Analytics-Senior
About this role
The opportunity
As a Senior, 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 deploy process mining dashboards using platforms such as Celonis and Power BI to analyze and optimize processes.
- Perform deep-dive analysis on core business processes, identifying bottlenecks, root causes and improvement opportunities.
- Develop 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.
- Work closely with business and technology teams to understand process flows, source systems and data structures required for process mining analysis.
- 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.
Skills and attributes for success
- Hands-on experience with
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- 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.
- Process Mining & Analytics
To qualify for the role, you must have
- Bachelor’s degree in computer science, data science or a related field.
- 4 to 8 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
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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