Responsibilities
- Provide data analytics and statistics support on Internal Audit and process improvement projects.
- Use data or statistical analysis tools in anomaly detection, process analysis, and policy decision-making.
- Assist business owners to create effective processes for gathering, mapping, analyzing, and presenting data extracted from a complex variety of information systems.
- Help develop and implement continuous monitoring / auditing software solutions to manage high-risk areas.
- Share technical knowledge and expertise with the other members of Internal Audit team.
Learning Opportunities
- Understand the use of data, statistical analysis, and other technologies in the global enterprise business environment by having exposure to a variety of business functions and processes.
- Learn the impact of data analysis on policy changes and operations.
- Experience investigative activities and translate them into actionable business intelligence.
- Opportunity to improve skills and experience with data and statistical analysis tools.
- Gain valuable experience with business management software such as NetSuite, Salesforce, etc.
Requirements
- MA/MS in a quantitative (Mathematics, Statistics, Economics) or technical (e.g. Computer Science) field
- Enrolled in Graduate degree program with exposure to data analytics and statistics coursework (e.g. Computer Science, Mathematics, Statistics, or Data Science)
- Experience working with statistical package such as R, Pandas, NumPy, SciPy, Matplotlib, Stata, Matlab (or other similar tools)
- Experience working with SQL, Python, Tableau, Excel (or other similar tools)
- Experience with tools and methods for Machine Learning (e.g. Regression, Predictive Modeling)
- Experience communicating data driven insights
- Demonstrated ability to work independently and with a team to achieve project goals
- Ability to successfully work with cross range of teams in the organization
- Ability to research and learn new technologies, tools, and platforms
Good to Have
- 1 year of quantitative industry experience
- Experience working with Business Intelligence tools