Demo

Audit Data Analyst

Coca-Cola Company
Atlanta, GA Full Time
POSTED ON 1/22/2025
AVAILABLE BEFORE 4/22/2025

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 the 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

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.
  • 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.

Qualifications and Experience

  • Bachelor's / Master's Degree in Accounting, Management Information Systems (MIS) or equivalent degree / practical experience
  • 2 years data analytics experience.
  • Internal Audit is a plus.
  • Demonstrated experience with operational and financial processes.
  • Experience with tools, such as, SAP S / 4 Hana, SAP WebIDE, Dynamics & Azure Apps, 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.
  • What We Can Do for You :

  • Iconic & Innovative Brands : Our portfolio represents over 200 products with some of the most popular brands in the world, including Coca-Cola, Costa Coffee, Innocent, Fairlife & Topo Chico.
  • 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
  • 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.

    Skills : Data Documentation; Problem Solving; Data Analytics; Microsoft Power Business Intelligence (BI); Dataset Management

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