Director, Enterprise Resource Allocation Business Science Intelligence Services
The Coca-Cola Company, Atlanta, GA, United States
We’re looking for a
Senior Marketing Analytics & Resource Allocation Specialist
to help build and scale a global decision‑making platform that guides how marketing and commercial investments are planned, optimized, and evaluated.
In this role, you’ll design and deploy advanced analytics—especially
Marketing Mix Models (MMM) —to help teams understand what drives growth, how different investments perform, and where resources should be allocated for maximum impact. You’ll work with large, complex datasets and translate sophisticated models into clear, practical recommendations that business leaders can act on.
This is a hands‑on role at the intersection of
marketing science, data analytics, and business strategy , with the opportunity to influence high‑value investment decisions across markets and regions worldwide.
Background & Context Coca‑Cola operates at massive global scale, with brands, bottlers, and markets across more than 200 countries. To operate effectively at this scale, the company is investing heavily in
enterprise‑level analytics platforms
that help teams make smarter, faster, and more aligned decisions.
Fuelight 360
Measure the impact of marketing and trade investments across channels
Compare scenarios and trade‑offs before money is spent
Align marketing, finance, and commercial teams around a single source of truth
Fuelight 360 launched recently and is now moving from early adoption to global scale. This role plays a key part in
building the analytics behind the platform , ensuring the models are robust, trusted, and useful for real business decisions.
What You’ll Do For Us You will be part of a centralized analytics team that partners closely with regional business units, marketing teams, finance, and technology leaders to bring advanced marketing science into everyday decision‑making.
Marketing Science & Analytics Implementation
Design and deploy Marketing Mix Models (MMM) that measure marketing effectiveness across paid media, owned channels, earned media, social, and non‑media investments (e.g., trade and commerce).
Continuously improve modeling approaches using modern techniques such as Bayesian methods, real‑time data, and evolving MMM frameworks.
Analyze ROI, elasticity, and performance drivers to inform budget allocation and optimization decisions.
Validate model outputs through rigorous analysis to ensure recommendations are credible and actionable.
Turning Data into Decisions
Translate complex analytics into clear, compelling stories for senior leaders.
Support scenario planning, helping teams understand trade‑offs, risks, and upside across different investment choices.
Monitor performance over time and refine models to improve predictive accuracy and business relevance.
Collaboration & Influence
Partner closely with product managers, technical teams, and other analytics leaders to ensure insights are embedded into tools and workflows.
Work with marketing, finance, and commercial stakeholders across regions to align on assumptions, insights, and decisions.
Contribute to workshops and training sessions to help teams understand and adopt marketing analytics capabilities.
Governance, Innovation & Scale
Help establish best practices and standards for model development, documentation, and deployment.
Explore and pilot new methodologies (e.g., causal inference, next‑generation attribution approaches).
Support the scaling of analytics capabilities across markets, ensuring insights can be operationalized consistently.
Capability Building
Support the Senior Director in scaling processes, ensuring OUs and Bottlers have a clear roadmap for operationalizing marketing insights for business decisions.
Provide technical inputs to upskill functional teams and bottling partners through coaching or training initiatives.
What You Bring Required
8+ years of experience in marketing analytics, econometrics, marketing science, or a related field
Hands‑on experience building and deploying Marketing Mix Models across multiple channels
Proven ability to translate advanced analytics into business‑ready recommendations.
Preferred
Experience with attribution modeling, causal inference, or scenario planning.
Exposure to deploying or scaling analytics platforms or proprietary tools.
Technical & Analytical Skills
Strong grounding in MMM, ROI optimization, and resource allocation frameworks.
Experience with tools such as R, Python, SQL, or similar (coding proficiency is a plus).
Ability to communicate results via dashboards, presentations, or executive‑ready summaries.
Understanding of omnichannel marketing measurement.
Ways of Working
Strong problem‑solver who enjoys turning complexity into clarity.
Comfortable working independently in a global, matrixed organization.
Confident communicator with senior stakeholders across functions and cultures.
Curious, growth‑oriented mindset with a passion for analytics innovation.
Education
Bachelor’s degree in Analytics, Data Science, Statistics, Economics, Marketing, or a related field.
Master’s degree preferred.
Why This Role Is Exciting
Global Impact: Influence how marketing and commercial investments are allocated at one of the world’s largest companies.
Advanced Analytics at Scale: Work on complex, high‑visibility modeling challenges with real business consequences.
Cross‑Functional Exposure: Collaborate with leaders across marketing, finance, technology, and analytics.
Career Growth: Build both deep technical expertise and strategic business influence in a global environment.
Benefits Pay Range: $160,000 - $186,000
Base pay offered may vary depending on geography, job-related knowledge, skills, and experience.
Annual Incentive Reference Value Percentage: 30
Annual Incentive reference value is a market‑based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.
Location: United States of America – Atlanta
Travel Required: 0% - 25%
Relocation Provided: No
Job Posting End Date: April 24, 2026
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, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.
#J-18808-Ljbffr
Senior Marketing Analytics & Resource Allocation Specialist
to help build and scale a global decision‑making platform that guides how marketing and commercial investments are planned, optimized, and evaluated.
In this role, you’ll design and deploy advanced analytics—especially
Marketing Mix Models (MMM) —to help teams understand what drives growth, how different investments perform, and where resources should be allocated for maximum impact. You’ll work with large, complex datasets and translate sophisticated models into clear, practical recommendations that business leaders can act on.
This is a hands‑on role at the intersection of
marketing science, data analytics, and business strategy , with the opportunity to influence high‑value investment decisions across markets and regions worldwide.
Background & Context Coca‑Cola operates at massive global scale, with brands, bottlers, and markets across more than 200 countries. To operate effectively at this scale, the company is investing heavily in
enterprise‑level analytics platforms
that help teams make smarter, faster, and more aligned decisions.
Fuelight 360
Measure the impact of marketing and trade investments across channels
Compare scenarios and trade‑offs before money is spent
Align marketing, finance, and commercial teams around a single source of truth
Fuelight 360 launched recently and is now moving from early adoption to global scale. This role plays a key part in
building the analytics behind the platform , ensuring the models are robust, trusted, and useful for real business decisions.
What You’ll Do For Us You will be part of a centralized analytics team that partners closely with regional business units, marketing teams, finance, and technology leaders to bring advanced marketing science into everyday decision‑making.
Marketing Science & Analytics Implementation
Design and deploy Marketing Mix Models (MMM) that measure marketing effectiveness across paid media, owned channels, earned media, social, and non‑media investments (e.g., trade and commerce).
Continuously improve modeling approaches using modern techniques such as Bayesian methods, real‑time data, and evolving MMM frameworks.
Analyze ROI, elasticity, and performance drivers to inform budget allocation and optimization decisions.
Validate model outputs through rigorous analysis to ensure recommendations are credible and actionable.
Turning Data into Decisions
Translate complex analytics into clear, compelling stories for senior leaders.
Support scenario planning, helping teams understand trade‑offs, risks, and upside across different investment choices.
Monitor performance over time and refine models to improve predictive accuracy and business relevance.
Collaboration & Influence
Partner closely with product managers, technical teams, and other analytics leaders to ensure insights are embedded into tools and workflows.
Work with marketing, finance, and commercial stakeholders across regions to align on assumptions, insights, and decisions.
Contribute to workshops and training sessions to help teams understand and adopt marketing analytics capabilities.
Governance, Innovation & Scale
Help establish best practices and standards for model development, documentation, and deployment.
Explore and pilot new methodologies (e.g., causal inference, next‑generation attribution approaches).
Support the scaling of analytics capabilities across markets, ensuring insights can be operationalized consistently.
Capability Building
Support the Senior Director in scaling processes, ensuring OUs and Bottlers have a clear roadmap for operationalizing marketing insights for business decisions.
Provide technical inputs to upskill functional teams and bottling partners through coaching or training initiatives.
What You Bring Required
8+ years of experience in marketing analytics, econometrics, marketing science, or a related field
Hands‑on experience building and deploying Marketing Mix Models across multiple channels
Proven ability to translate advanced analytics into business‑ready recommendations.
Preferred
Experience with attribution modeling, causal inference, or scenario planning.
Exposure to deploying or scaling analytics platforms or proprietary tools.
Technical & Analytical Skills
Strong grounding in MMM, ROI optimization, and resource allocation frameworks.
Experience with tools such as R, Python, SQL, or similar (coding proficiency is a plus).
Ability to communicate results via dashboards, presentations, or executive‑ready summaries.
Understanding of omnichannel marketing measurement.
Ways of Working
Strong problem‑solver who enjoys turning complexity into clarity.
Comfortable working independently in a global, matrixed organization.
Confident communicator with senior stakeholders across functions and cultures.
Curious, growth‑oriented mindset with a passion for analytics innovation.
Education
Bachelor’s degree in Analytics, Data Science, Statistics, Economics, Marketing, or a related field.
Master’s degree preferred.
Why This Role Is Exciting
Global Impact: Influence how marketing and commercial investments are allocated at one of the world’s largest companies.
Advanced Analytics at Scale: Work on complex, high‑visibility modeling challenges with real business consequences.
Cross‑Functional Exposure: Collaborate with leaders across marketing, finance, technology, and analytics.
Career Growth: Build both deep technical expertise and strategic business influence in a global environment.
Benefits Pay Range: $160,000 - $186,000
Base pay offered may vary depending on geography, job-related knowledge, skills, and experience.
Annual Incentive Reference Value Percentage: 30
Annual Incentive reference value is a market‑based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.
Location: United States of America – Atlanta
Travel Required: 0% - 25%
Relocation Provided: No
Job Posting End Date: April 24, 2026
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, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.
#J-18808-Ljbffr