Senior Associate, Data Analyst Audit
KPMG
Total years of experience :3 years, 4 Months
• Led 6 IT audit engagements, ensuring compliance with regulatory standards and best practices.
• Led 3 initiatives resulting in 35% improvements in data analysis efficiency and accuracy.
• Analyzed business data to identify inefficiencies, resulting in a 20% increase in process optimization.
• Established and managed a database containing 54 audit findings for 6 different audit reports, resulting in improved tracking and reporting efficiency.
• Reduced the error rate in financial reports by 20%, resulting in 30% improvement in financial data accuracy.
• Conducted 7 comprehensive data risk assessments, resulting in the identification of 17 process improvement opportunities. These initiatives led to a substantial reduction in risk exposure, mitigating potential financial losses and safeguarding against reputational damage. The implemented improvements addressed critical vulnerabilities, potentially saving millions of rupees and safeguarding data integrity.
• Produced 8 audit reports, effectively communicating 14 critical findings and recommendations to senior management and stakeholders, the recommendations ensured compliance with regulatory standards, mitigating the risk of penalties, and reinforcing organizational resilience.
• Implemented advanced data mining techniques, resulting in a 25% increase in actionable insights derived from raw data.
• Developed predictive models that contributed to a 20% improvement in forecasting accuracy for key business metrics.
• Analyzed financial performance metrics (ROI), leading to the identification of 4 opportunities for revenue optimization leading to 18% optimization in marketing budget by reallocating resources to the most effective channels and campaigns.
• Developed strategic initiatives that contributed to a 8% increase in market competitiveness.
• Developed customized reporting dashboards that enhanced data visualization and decision-making capabilities.
• Conducted data validation and normalization, resulting in a 30% increase in data integrity and reliability.
• Developed 5 data models, improving data analysis capabilities and accuracy.
• Implemented customer segmentation leveraging classification algorithms to to analyze customer retention based on activity and behavior and develop proactive strategies to address issues leading to early customer departure, resulting in 10% improve in overall customer lifetime value by enabling targeted retention efforts.
