Senior Data Analytics Auditor

Robert Half - Memphis, TN

Full-time - Mid Level

Memphis, TN

Administrative and Support Services

About the position

The Senior Data Analytics Auditor plays a crucial role in supporting the Internal Audit function by utilizing extensive data analysis to enhance audit projects across various departments. This position focuses on developing analytics tools, mitigating risks, and improving operational efficiency through insightful data-driven recommendations. The auditor collaborates with leadership to establish centralized processes for audit support, including data mining, statistical analysis, and reporting, while also training Internal Audit members on relevant business intelligence tools.

Responsibilities

• Provide services such as data mining, statistical analysis, dashboarding, and reporting to the Internal Audit team
• Help audit project teams by providing analytical insights gleaned through research and data analysis
• Enhance data collection procedures to include information that is relevant for building analytical tools for audit project teams and the business
• Develop and maintain an in-depth understanding of data tables available for analysis and guide and educate staff members
• Extend and enhance data with third-party data sources
• Process, cleanse, and verify the integrity of data used for analysis
• Perform ad-hoc analysis and present results in a clear and creative manner
• Create automated fraud and risk detection tools to continuously audit and monitor activity
• Maintain and enhance the audit department's internal KPI reporting
• Integrate data analytics into Enterprise Risk Management, annual risk assessment, and project planning
• Deliver training to department associates on the standard BI and analytics tools used in the department

Requirements

• Bachelor's degree in Data Analysis, Finance, Accounting, or other related business field; Master's degree preferred
• Minimum of 5 - 7 years of Audit experience
• Minimum of 1 - 2 years data analysis experience
• Experience and proficiency in analyzing structured and unstructured data
• Strong data mining skills and familiarity with BI tools and technology such as R, Python, Big Query, and Looker; PeopleSoft or SAP experience a plus
• Familiarity with data visualization tools to develop dashboards and reporting
• Able to identify and address data imperfections such as missing values, inconsistent string and/or data formatting
• Able to know the context of the business situation at hand with regards to data and able to predict questions and challenges to assumptions and conclusions
• Able to describe findings or the way techniques work to audiences, both technical and non-technical

Benefits

• Medical insurance
• Vision insurance
• Dental insurance
• Life insurance
• Disability insurance
• 401(k) plan