Director, Lead Product Data Analyst - Digital
About The Position
The Lead Product Data Analyst will join The Coca-Cola Company’s Digital Product Data & Analytics team within the North America Digital & Data organization. The role reports to the Head of Product Data & Analytics and works with product data analysts and data scientists embedded in cross-functional squads alongside Product, Design, Engineering, Research, and business stakeholders. The analyst helps define product outcomes, develop and test hypotheses, and influence roadmap priorities and trade-offs. The role requires autonomy in complex, ambiguous problem spaces and contributes to building the organization’s product analytics discipline through advanced methods, product thinking, and creative problem-solving. The successful candidate will help teams understand user behavior, learn faster, and make better product decisions. The work includes developing product measurement strategies and success metrics; analyzing product usage, funnels, journeys, and segments; applying statistical methods and experimentation to assess performance and impact; improving instrumentation and data quality; and communicating actionable findings through dashboards, visualizations, and data narratives. The position is based in the United States, with Atlanta listed as a city, and requires 0%–25% travel. Relocation is provided. The company does not offer employment visa sponsorship; applicants must already be authorized to work full-time in the United States without requiring sponsorship.
Requirements
- Bachelor’s or Master’s degree in analytics, statistics, biostatistics, data science, economics, computer science, or a related quantitative field, or equivalent practical experience.
- 7+ years of experience in advanced analytics or applied data science supporting digital products in B2B or B2C marketplaces.
- Strong foundation in experimental design, causal inference, and statistical methods.
- Advanced proficiency in SQL and Python or R.
- Experience working with large, complex datasets using Microsoft Azure technologies such as Synapse, Fabric, and PySpark notebooks.
- Proven ability to collaborate with cross-functional teams and influence product strategy and decisions.
- Strong communication skills and ability to translate complex analyses into clear insights and recommendations.
- Ability to operate independently in ambiguous environments and foster a data-driven culture of learning and growth.
- Must be currently authorized to work full-time in the United States and must not require The Coca-Cola Company’s sponsorship to continue working legally in the United States.
Nice To Haves
- Experience supporting B2B or multi-sided marketplace products.
- Experience applying advanced analytics and causal-inference methods to B2B product data.
- Experience with product instrumentation and experimentation tools such as Amplitude, Mixpanel, FullStory, or GA4.
Responsibilities
- Define and evolve product measurement strategies and success metrics for adoption, engagement, retention, product health, and value creation.
- Analyze product usage, funnels, customer journeys, and segments to identify user behaviors, friction points, trends, and opportunities.
- Apply advanced analytics, statistical methods, and experimentation—including A/B testing, incrementality testing, and quasi-experimental analysis—to evaluate product performance and quantify impact.
- Partner with Product, Design, Engineering, Data, Commercial, and Operations to translate insights into product strategy, priorities, and action.
- Develop scalable measurement frameworks, playbooks, and experimentation standards to strengthen analytical maturity and outcome-based decision-making.
- Define and improve product instrumentation, event tracking, and data structures to accurately capture user behavior and support measurement.
- Partner with Application Engineering to implement and validate accurate, consistent event instrumentation.
- Partner with Data Architecture and Data Engineering to define data requirements and ensure product data flows into the data lake.
- Establish and maintain consistent metric definitions, data-quality standards, and analytical assumptions across products.
- Develop dashboards, visualizations, and data narratives that make insights accessible and actionable.
- Translate quantitative findings into clear recommendations that influence product strategy, prioritization, and decisions.
- Promote thoughtful, ethical, and high-quality use of data across the product organization.
Benefits
- A full range of medical, financial, and/or other benefits is offered, dependent on the position.
- Relocation assistance is provided.
- Annual incentive reference value of 30% of base pay, with the reference value described as a market-based competitive value at target performance.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
