Consultant, Audit Data Analytics

The Coca-Cola Company • Atlanta, GA

1d • Hybrid

About The Position

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.

Requirements

• Bachelor’s/master’s degree in accounting, Management Information Systems (MIS) or equivalent degree/practical experience
• 2+ years of data analytics experience.
• Demonstrated experience with operational and financial processes.
• Experience with tools, such as, SAP S/4 Hana, SAP Web IDE, Dynamics & Azure Apps, MS Fabric, MS Power Platform Tools, Alteryx, SQL, R, or Python.
• Ability to organize, cleanse, understand, measure, and analyze big data to understand the relationships, inconsistencies, and unknowns.
• Strong attention to detail and organization skills as well as oral and written communications.

Nice To Haves

• Internal Audit is a plus.

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 team members.
• Verifies code for accuracy of intended purpose.
• Produce compelling data visualizations to communicate insights and influence outcomes for audits driving automation and efficiencies.
• Actively research and advocate adoption of emerging methods and technologies in the data science field, with an eye toward continually advancing capabilities.

Benefits

• Iconic & Innovative Brands: Work with one of the world’s most recognized and beloved brand portfolios.
• Commitment to Diversity: We are paving the way to create change in the industry, and our leadership is committed to diversity, inclusion and belonging.
• Agile & Innovative Software Platforms: Each day, we work to improve our reporting efficiencies and capabilities using top-tier software platforms including Alteryx, Power BI, and Tableau

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level