Risk Analytics - Audit Analytics - Senior

EY; Tada; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

EY in India seeks a Senior – Audit Analytics to support the delivery of data analytics across Internal Audit, risk and controls engagements. You will work with large enterprise datasets to develop, validate and visualize analytics that identify risk indicators and process improvements.

The role emphasizes hands-on analytics using SQL, Python, Power BI and modern data platforms (Databricks/Snowflake), with opportunities to contribute to automation and CCM initiatives within EY's Global Delivery

Qualifications

• Experience with SQL including complex queries and data profiling.
• Experience with Python and ETL tools.
• Experience building dashboards with Power BI.

Responsibilities

• Perform data extraction, transformation, profiling and analysis using SQL, Python and ETL tools/techniques.
• Develop and execute audit analytics, exception testing and risk-based analytical procedures across enterprise processes.
• Build interactive dashboards and reporting solutions using Power BI to communicate analytical findings, exceptions and risk insights.
• Work with large and complex datasets across modern data platforms such as Databricks and/or Snowflake.
• Perform data quality checks, reconciliations and validation to ensure the completeness and accuracy of analytical outputs.
• Translate audit, risk and business requirements into analytical logic, data requirements and test scenarios.
• Collaborate with Internal Audit, business, technology and data teams to understand processes, identify relevant data sources and deliver analytics.
• Document data logic, transformation steps, assumptions and analytical procedures to support repeatability and auditability.
• Support technology-enabled Internal Audit transformation initiatives, including analytics, automation and Continuous Controls Monitoring.
• Identify opportunities to leverage AI/GenAI and Large Language Models (LLMs) within analytics, audit and risk management use cases.

Skills

SQL

Python

Power BI

ETL tools

Databricks

Snowflake

AI/GenAI

Job description

Job Description:

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.

Senior – Audit Analytics

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

About Global Delivery Services

Global Delivery Services refers to EY's worldwide network of service delivery centers. The GDS team plays an important role in EY’s strategy by ensuring effective support to EY’s growth agenda.

Our journey started in 2002 with approximately 200 people. Today we stand at 80,000+ professionals in ten locations around the world. We operate in Argentina, China, Hungary, India, Philippines, Poland, Sri Lanka, Mexico, Spain and the United Kingdom.

Client service is focused on providing Consulting, Assurance, Tax, Strategy & Transactions, and Knowledge support to our clients around the world. The teams enable account teams worldwide to provide seamless, high-quality, value-added support, helping deliver exceptional client service.

Enablement Services provides cost-effective, high-skilled, and innovative services to support EY’s global and local enablement teams. Markets, BMC, AWS, Finance and Accounting, Risk Management, Procurement, People Shared Services, IT Service Delivery and IT Global Infrastructure services, are among the services offered by Enablement Services.

Our innovation specialists serve the GDS Client Service and Enablement Services teams, along with Service Lines, Core Business Services and Sectors. The team brings the desired environment, technologies and skilled teams together for facilitation, rapid prototyping and innovative thinking. The competencies offered include analytics, digital, user experience, mobile technology, infrastructure, Microsoft technologies and open innovation.

The Opportunity

As a Senior – Audit Analytics, you will support the delivery of data analytics solutions across Internal Audit, risk and controls engagements. You will work with large and complex enterprise datasets to develop, validate and visualize analytics that help identify risk indicators, control exceptions and process improvement opportunities.

The role requires strong hands-on analytical capabilities and the ability to translate audit and business requirements into scalable analytical solutions using technologies such as SQL, Python, Power BI, ETL tools and modern data platforms including Databricks and Snowflake. You will also have opportunities to contribute to technology-enabled Internal Audit transformation, including automation, Continuous Controls Monitoring (CCM), and AI/GenAI-enabled analytics.

Your Key Responsibilities

• Perform data extraction, transformation, profiling and analysis using SQL, Python and ETL tools/techniques.
• Develop and execute audit analytics, exception testing and risk-based analytical procedures across enterprise processes.
• Build interactive dashboards and reporting solutions using Power BI to communicate analytical findings, exceptions and risk insights.
• Work with large and complex datasets across modern data platforms such as Databricks and/or Snowflake.
• Perform data quality checks, reconciliations and validation to ensure the completeness and accuracy of analytical outputs.
• Translate audit, risk and business requirements into analytical logic, data requirements and test scenarios.
• Collaborate with Internal Audit, business, technology and data teams to understand processes, identify relevant data sources and deliver analytics.
• Document data logic, transformation steps, assumptions and analytical procedures to support repeatability and auditability.
• Support technology-enabled Internal Audit transformation initiatives, including analytics, automation and Continuous Controls Monitoring.
• Identify opportunities to leverage AI/GenAI and Large Language Models (LLMs) within analytics, audit and risk management use cases.

Skills and attributes for success

• Strong hands-on experience with SQL, including complex queries, joins, aggregations, data profiling and analytical logic.
• Strong hands-on