Risk Analyst

EY; India; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

EY in India is seeking a Risk Analytics - Audit Analytics professional to design and execute analytical procedures across enterprise processes. You will transform and analyze data using SQL and Python, build interactive Power BI dashboards, and collaborate with cross-functional teams on data sourcing and risk insights.

You will work with large datasets on modern platforms like Databricks and Snowflake, ensure data quality, and translate risk requirements into structured tests.

Qualifications

• Strong hands-on experience with SQL, including complex queries, joins and aggregations.
• Hands-on Python for data analysis, transformation and automation.
• Strong understanding of ETL concepts and data transformation.

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 dashboards and reporting using Power BI to communicate findings, exceptions and risk insights.
• Work with large datasets on platforms like Databricks and Snowflake.
• Perform data quality checks and validation to ensure accuracy of outputs.
• Translate audit, risk and business requirements into analytical tests and outputs.
• Collaborate with Internal Audit, business, technology and data teams to source data and deliver analytics.
• Document data logic, transformations and assumptions to support repeatability and auditability.
• Support analytics-led Internal Audit transformation initiatives, including automation and monitoring.
• Identify opportunities to leverage AI/GenAI and LLMs in analytics and risk management.

Skills

SQL

Python

ETL

Power BI

Databricks

Snowflake

Data quality

Analytics

Tools

Databricks

Snowflake

Job description

Role- Risk Analytics -Audit Analytics

• 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 experience with Python for data analysis, transformation, statistical modelling, automation and development of scalable analytical solutions.
• Strong understanding of ETL concepts, data transformation and working with data from multiple source systems.
• Hands-on experience developing dashboards and analytical reporting solutions using Power BI.
• Experience working with data warehousing and modern data platforms such as Databricks and/or Snowflake.
• Strong data analysis, reconciliation and problem-solving skills, with the ability to work effectively with large and complex datasets.
• Ability to understand business, audit and risk requirements and translate them into structured analytical tests and actionable outputs.
• Strong communication and documentation skills, with the ability to explain analytical approaches and findings to business and audit stakeholders.
• Exposure to AI/GenAI solutions and Large Language Models (LLMs) and their application across analytics, audit and risk management.
• Ability to work collaboratively across multidisciplinary teams and manage assigned analytical deliverables.
• Understand common business and technology processes such as Procure-to-Pay (P2P/PTP), Order-to-Cash (O2C/OTC), Travel & Expense (T&E), ITGC and SOX controls.
• Have an understanding of risks, controls, KRIs and exception-based audit testing.
• Have exposure to enterprise systems and datasets such as SAP, Oracle, Workday, expense platforms, GRC tools or other ERP environments.
• Have experience or exposure to Internal Audit transformation initiatives involving analytics, automation or technology-enabled auditing.
• We are looking for a hands-on analytics professional who combines strong technical capabilities with an understanding of risk, controls and Internal Audit. You should be comfortable working with complex enterprise datasets, developing analytical solutions independently and translating technical findings into meaningful risk and business insights.
• You should bring a problem-solving mindset, strong attention to data quality and the ability to collaborate effectively with audit, business, data and technology stakeholders.

Successful candidates advance to a competency-based interview. If mutual interest persists, a job offer awaits.