Senior Manager, Global Marketing & C&CL Consumption & Purchase Advanced Analytic
The Coca-Cola Company, Atlanta, GA, United States
The Coca-Cola Company is building a next-generation, AI-powered marketing analytics ecosystem. We are hiring a senior manager to apply machine learning, GenAI, and advanced statistical modeling to large-scale consumer and shopper data.
Hybrid work | Global exposure | High leadership visibility
Location: Atlanta, Georgia
Key Focus Areas
Develop and apply ML models, advanced analytics, and GenAI to marketing and commercial use cases.
Work with large, complex datasets including consumer tracking, household panels, and syndicated retail data.
Partner with data platform teams to enable scalable, real‑time analytics solutions.
Translate analytical outputs into clear business recommendations for global stakeholders.
Ideal Background
Strong experience in marketing, consumer, or shopper analytics, ideally within CPG or a related industry.
Hands‑on expertise in advanced analytics, statistical modeling, and data analysis.
Experience with consumer tracking, household panel, and syndicated retail data (e.g., Nielsen).
Proficiency in Python, R, SQL, Power BI; experience with Azure ML or similar platforms is a plus.
Experience applying analytics to real business decisions (marketing, growth, pricing or optimization).
What We Can Do For You
Iconic Brand: Work on the most recognized brand in the world and help shape its next chapter.
Exposure to world‑class leaders: Connect with global marketing leaders and expand your network.
Creative Team Culture: Be part of a supportive, risk‑taking, and innovative environment.
Pay Range: $130,000 – $147,000
Base pay offered may vary depending on geography, job‑related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits is offered.
Annual Incentive Reference Value Percentage: 15%
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, veteran status, or disability. All applicants must be authorized to work in the United States without sponsorship.
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Hybrid work | Global exposure | High leadership visibility
Location: Atlanta, Georgia
Key Focus Areas
Develop and apply ML models, advanced analytics, and GenAI to marketing and commercial use cases.
Work with large, complex datasets including consumer tracking, household panels, and syndicated retail data.
Partner with data platform teams to enable scalable, real‑time analytics solutions.
Translate analytical outputs into clear business recommendations for global stakeholders.
Ideal Background
Strong experience in marketing, consumer, or shopper analytics, ideally within CPG or a related industry.
Hands‑on expertise in advanced analytics, statistical modeling, and data analysis.
Experience with consumer tracking, household panel, and syndicated retail data (e.g., Nielsen).
Proficiency in Python, R, SQL, Power BI; experience with Azure ML or similar platforms is a plus.
Experience applying analytics to real business decisions (marketing, growth, pricing or optimization).
What We Can Do For You
Iconic Brand: Work on the most recognized brand in the world and help shape its next chapter.
Exposure to world‑class leaders: Connect with global marketing leaders and expand your network.
Creative Team Culture: Be part of a supportive, risk‑taking, and innovative environment.
Pay Range: $130,000 – $147,000
Base pay offered may vary depending on geography, job‑related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits is offered.
Annual Incentive Reference Value Percentage: 15%
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, veteran status, or disability. All applicants must be authorized to work in the United States without sponsorship.
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