Internal Audit Associate Data Analytics

Role Overview: You will leverage data analytics to support internal audit engagements, identifying risks and inefficiencies within Infosys's operations. Your role involves extracting, analyzing, and visualizing data to support audit findings and recommendations. Additionally, you will be responsible for developing and maintaining data-driven audit tools. Key Responsibilities: - Collaborating with audit teams to develop data analytics plans for audit engagements. - Extracting and analyzing large datasets from various sources. - Developing and using data-driven audit tools and techniques. - Visualizing data to communicate audit findings effectively. - Identifying trends, anomalies, and risks within data. - Developing and maintaining data documentation and processes. - Staying up-to-date on data analytics tools and techniques used in auditing. Qualification Required: - Bachelor's degree in a quantitative field such as Computer Science, Statistics, or related field. - 0-1 years of experience in data analytics or auditing. - Proficiency in programming languages such as Python or R. - Experience with data visualization tools like Tableau or Power BI. - Strong understanding of data analysis methodologies. - Excellent communication and collaboration skills. (Note: No additional details of the company were provided in the job description.) Role Overview: You will leverage data analytics to support internal audit engagements, identifying risks and inefficiencies within Infosys's operations. Your role involves extracting, analyzing, and visualizing data to support audit findings and recommendations. Additionally, you will be responsible for developing and maintaining data-driven audit tools. Key Responsibilities: - Collaborating with audit teams to develop data analytics plans for audit engagements. - Extracting and analyzing large datasets from various sources. - Developing and using data-driven audit tools and techniques. - Visualizing data to communicate audit findings effectively. - Identifying trends, anomalies, and risks within data. - Developing and maintaining data documentation and processes. - Staying up-to-date on data analytics tools and techniques used in auditing. Qualification Required: - Bachelor's degree in a quantitative field such as Computer Science, Statistics, or related field. - 0-1 years of experience in data analytics or auditing. - Proficiency in programming languages such as Python or R. - Experience with data visualization tools like Tableau or Power BI. - Strong understanding of data analysis methodologies. - Excellent communication and collaboration skills. (Note: No additional details of the company were provided in the job description.)