Control testing- Data Analytics

EY; Bengaluru; Hybrid; INR 900,000 - 1,500,000; Full time

Job summary

EY Bengaluru seeks a data analytics and automation specialist to enhance control monitoring and testing processes. You will build interactive dashboards and data-driven outputs that reveal control performance, exceptions and risk trends.

The role focuses on applying data analytics to testing activities, automating manual processes, and leveraging AI where appropriate to uplift the control environment. Collaboration with risk and technology stakeholders is essential.

Qualifications

• Advanced capability in data analytics, automation and R programming, including hands-on experience building R Shiny apps.
• Experience with scalable, production-ready control testing solutions.
• Understanding of operational risk assurance and testing quality.
• Ability to work with structured datasets to generate insights.
• Familiarity with regulatory requirements and documentation standards.

Responsibilities

• Support development of data-driven control monitoring solutions to improve efficiency and visibility.
• Develop and maintain interactive dashboards and reporting outputs for control monitoring.
• Apply data analytics to execute control testing activities with quality and accuracy.
• Support enhancement of control testing and QA processes via analytics and standardised methods.
• Assist in automating manual testing processes to increase efficiency and scalability.
• Apply automation and emerging AI to improve testing coverage and target high-risk areas.
• Analyse datasets to identify weaknesses, exceptions, and risk indicators.
• Translate analytical outputs into actionable insights for prioritization and improvement.
• Contribute to QA and validation activities, including testing logic and data accuracy.
• Identify data gaps or limitations in testing coverage and support quality improvements.
• Drive efficiency across high-volume control testing activities.
• Collaborate with business, risk and technology stakeholders to deliver outcomes.

Skills

Data analytics

Automation

R programming

R Shiny

Communication

Tools

R

Shiny

Job description

Role & responsibilities

• Support development of data-driven control monitoring solutions, to improve Control Monitoring efficiency and visibility of outcomes.
• Develop and maintain interactive dashboards and reporting outputs to support control monitoring, providing clear, data-driven insights into control performance, exceptions and emerging risk trends.
• Apply data analytics to execute control testing activities, ensuring outputs are accurate, reliable and aligned with established methodologies and quality standards.
• Support the enhancement of control testing and quality assurance processes through improved use of data, analytics and standardised approaches.
• Assist in the automation of manual testing processes, contributing to increased efficiency, scalability and consistency of assurance activities.
• Apply automation and emerging AI capabilities (where appropriate) to improve testing coverage, enable more targeted testing of higher-risk areas and support uplift of the control environment.
• Analyse datasets to identify control weaknesses, exceptions, and risk indicators, escalating findings and supporting interpretation under guidance from senior team members.
• Support the translation of analytical outputs into insights, contributing to identification of control testing priorities and improvement opportunities.
• Contribute to quality assurance and validation activities, including testing logic, data accuracy and completeness of outputs.
• Identify and highlight data gaps or limitations in testing coverage, supporting initiatives to improve data quality and expand assurance scope.
• Drive efficiency across high-volume control testing activities, enabling better prioritisation and focus on key risk areas.
• Collaborate effectively with business, risk and technology stakeholders to support the delivery of control testing and monitoring outcomes.

Preferred candidate profile

• Advanced capability in data analytics, automation, and R programming, including handson experience building R Shiny applications and scalable, productionready solutions for control testing.
• Knowledge in control testing methodologies and operational risk assurance, with experience overseeing testing quality and delivering effective outcomes.
• Ability to work with structured and moderately complex datasets to generate insights.
• Knowledge of nonfinancial risk frameworks, governance and regulatory requirements, with a focus on documentation and evidencing standards.
• Effective communication skills, with ability to present findings clearly to stakeholders.
• Good time management and organizational skills, with ability to deliver within deadlines.