Data Analytics Executive

As a Data Analytics Executive at our company, your primary responsibility will be to enhance our Internal Audit function using data-driven insights. You will play a crucial role in identifying risks, strengthening internal controls, and providing valuable data-driven recommendations to both the audit team and management. Key Responsibilities: - Execute Data Analytics: Conduct continuous monitoring routines by extracting and analyzing data from various sources (e.g., SAP) using tools such as ACL, Snowflake, and Power BI to support audit analytics and risk identification. - Enhance DA Capabilities: Drive the development of new analytical scripts and scenarios to expand continuous monitoring coverage. Refine existing scripts by eliminating false positives and improving logic to ensure accuracy and effectiveness. - Perform Independent Review: Manage and execute end-to-end special process reviews and investigations, from initial planning through to final reporting. - Communicate and Report: Present audit findings and recommendations to relevant stakeholders to drive actionable change and improve internal controls. Prepare clear, well-structured working papers and formal written reports. - Collaborate with other Auditors: Provide guidance and support to the field audit team on data analytics outcomes and actionable observations, fostering a data-driven approach to auditing. Qualifications And Skills: - Degree or Professional certification in Accountancy or Finance. - Partially qualified CA/CMA candidates are also preferred. - Advanced SAP experience is desired. - Knowledge of DA tools like ACL, Snowflake, Power BI is an added advantage. - Ability to Visualize Risks and Identify Internal Control Gaps. - Analytic Problem-Solving, Creative Thinking, Inclined towards Data Analytics. - Motivated, energized, and eager to learn. - Ability to communicate complex information clearly, verbally and written, in English. This position requires expertise in financial reporting, data analytics, Snowflake, SAP, internal audit, and Power BI.,