Data Analyst

Coca-Cola; Atlanta (GA); On-site; USD 120,000 - 160,000; Full time

Job summary

The Coca-Cola Company is pursuing a data-driven transformation to measure and maximize the business value of data, analytics, and AI across Corporate Functions. This role designs value frameworks, defines success metrics, and partners with leaders to align investments with strategic priorities.

You will build value models, deliver executive dashboards, and ensure governance for value measurement while collaborating with data strategists and technical teams to scale use cases and inform decision

Qualifications

• Bachelor’s degree in Business, Finance, Economics, Data Science, Analytics, or a related field.

Responsibilities

• Design and operationalize frameworks to measure and track the value of data, analytics, and artificial intelligence initiatives across Corporate Functions.
• Partner with business and functional leaders to define success metrics, key performance indicators, and expected outcomes for data-driven use cases and investments.
• Build and maintain value models, including cost-benefit analysis and ROI modeling to inform strategic decisions.
• Translate data and analytics outcomes into clear business narratives that highlight impact, risks, and opportunities for improvement.
• Collaborate with Data Strategists and technical teams to ensure value considerations are embedded from use case identification through to delivery and scaling.
• Establish consistent methodologies, tools, and governance practices for value measurement and reporting across initiatives.
• Identify opportunities to optimize or reprioritize investments based on performance insights and evolving business needs.
• Develop executive-level reporting and dashboards that provide visibility into portfolio performance and value realization.
• Ensure alignment between enterprise data strategy, financial planning processes, and performance management frameworks.
• Stay current on leading practices in value measurement, analytics, and artificial intelligence to continuously refine approaches and frameworks.

Education

Bachelor’s degree in Business, Finance, Economics, Data Science, Analytics, or a related field

Job description

Job Description Summary:

AtTheCoca‑ColaCompany, we are building a future where data powers smarter decisions, fuels innovation, and creates tangible business value across our global system. As we continue our transformation into a more digitally enabled andinsight‑drivenorganization, our ability to measure, understand, and maximize the impact of data investments is critical to sustained growth.

What You’ll Do for Us

• Design and operationalize frameworks to measure and track the value of data, analytics, and artificial intelligence initiatives across Corporate Functions
• Partner with business and functional leaders to define success metrics, key performance indicators, and expected outcomes fordata‑drivenuse cases and investments
• Build and maintain value models, includecost‑benefitanalysis, return on investment modeling, and scenario planning to inform strategic decisions
• Translate data and analytics outcomes into clear business narratives that highlight impact, risks, and opportunities for improvement
• Collaborate with Data Strategists and technical teams to ensure value considerations are embedded from use case identification through to delivery and scaling
• Establish consistent methodologies, tools, and governance practices for value measurement and reporting across initiatives
• Identify opportunities to optimize or reprioritize investments based on performance insights and evolving business needs
• Developexecutive‑level reporting and dashboards that provide visibility into portfolio performance and value realization
• Ensure alignment between enterprise data strategy, financial planning processes, and performance management frameworks
• Stay current on leading practices in value measurement, analytics, and artificial intelligence to continuously refine approaches and frameworks

Requirements & Qualifications

• Bachelor’s degree in Business, Finance, Economics, Data Science, Analytics, or a related field; Master’s degree pr