Job Description:

• Hands-on experience applying analytics (descriptive, diagnostic, predictive) to evaluate controls and business objectives and identify outliers, anomalies, patterns, or other compliance indicators that may be hidden in the data.

• Extensive Experience using statistical techniques (e.g., regression analysis, cluster analysis, and decision trees) and anomaly detection methods.

• 5-7 years of demonstrative experience using programming languages - SQL and Python including python data libraries (numpy, pandas, matplotlib, scikit-learn), Visualization tools - PowerBI/Tableau and AWS SageMaker.

• Proven track record of developing impactful presentations, visualizations, and dashboards for executives.

• Excellent written and verbal communication skills.

• The ability to work effectively with persons at all levels in the organization and influence management in ambiguous situations.

• In-depth understanding of the principles and practices of information technology, data analytics, digital processes, and internal controls in a large corporate environment