Job Description Summary:
The Data Analyst, Internal Audit will be a key technical member of the Data, Strategy, Analytics, and Insights team. The team will play a critical role in providing valuable insights into audits through data, driving the automation and efficiency of the audits, empowering Internal Audit to further use analytics to bring value to the business. This team is responsible for providing insights to the data that enables audit and the Company to understand and manage risks more effectively.
The Data Analyst, Internal Audit will support the team through collecting, cleansing, and analyzing data through technical tools. This role will require the ability to tell a story, which connects the data relationships to risks and provides the capability to look at potential risks differently. The candidate should demonstrate strong leadership, curiosity, communication, and problem-solving skills with the ability to interact in a dynamic team environment and maintain accountability for individual performance objectives and goals.
Position Details:
Location: Atlanta, Georgia
Hybrid work schedule - 3 days per week in person and 2 days virtual
Individual contributor role - no direct reports
Applicants must be authorized to work for any employer in the US. Please note that The Coca-Cola Company is unable to sponsor or assume sponsorship of a candidate’s employment visa for this position.
Key Duties and Responsibilities
- Engage with audit teams and stakeholders to gather, build, and understand business requirements. Bring structure to requests and translate requirements into an analytic approach to enhance audits.
- Leverage AI and advanced analytics techniques (e.g., anomaly detection, predictive analytics, pattern recognition, process mining) to enhance audit planning, scoping, and risk assessment
- Write complex programs, ad hoc queries, and reports while ensuring that all code is developed in a well-organized and well-structured style that includes sufficient comments and is easy to maintain and reuse. Use Agile to deliver quick wins and iterative improvements.
- Problem-solve errors and gaps in business needs while seeking sources of key data to provide the desired result. Test and delivery quality ensuring completeness and accuracy of the data.
- Lead the design, code, and validation phases of the projects. Explains technical considerations at meetings for internal clients and less experienced