Senior Manager, Product Analytics

Job Description Summary:

Digital products play an increasingly important role in how we serve customers, support the teams who power our business, and drive growth across the Coca-Cola system. We are building a modern product organization where small, cross-functional teams are responsible for solving meaningful problems and delivering measurable outcomes.

Data and analytics are central to how these teams learn and make decisions. We are looking for a Senior Manager of Product Analytics to partner closely with product managers, designers, and engineers to understand user behavior, evaluate opportunities, and measure the impact of product decisions.

In this role, you’ll help product teams move faster by turning complex data into clear insight, helping teams focus on the problems that matter most and build digital experiences that better serve our customers and the associates who support them.

About the Role

Product Analytics leaders are embedded within cross-functional product teams and play a central role in how those teams learn and make decisions.

You will help teams understand how customers and associates interact with digital products, identify opportunities to improve experiences, and evaluate whether product changes are delivering meaningful results.

Your work will span the full product lifecycle, from early discovery and hypothesis testing through measuring the impact of new capabilities in market.

What You’ll Do

Product Insight & Behavioral Analysis

• Analyze product usage, journeys, and behavioral patterns to understand how customers and associates interact with digital products
• Identify friction points, emerging trends, and opportunities to improve key product experiences
• Segment user behaviors to uncover meaningful differences in needs and outcomes

Product Discovery & Decision Support

• Partner with product managers and designers to frame product questions, evaluate opportunities, and inform prioritization
• Use data and analysis to help teams understand which problems are most important to solve
• Contribute analytical insight during product discovery, concept evaluation, and roadmap planning

Experimentation & Impact Measurement

• Design and evaluate experiments, pilots, and controlled rollouts to understand the impact of product changes
• Help teams define success metrics and guardrails for new product capabilities
• Translate experimental results into clear recommendations for product decisions

Product Instrumentation & Measurement

• Define event tracking and product instrumentation that accurately reflects user behavior
• Partner with engineering teams to ensure reliable data collection and measurement
• Maintain shared definitions and documentation for key product metrics

Insight Communication & Team Enablement

• Build dashboards and visualizations that help product teams monitor product performance
• Translate complex analysis into clear insights that teams can act on
• Help raise analytical fluency across product teams by making data accessible and useful

Key Qualifications

• 5–8 years of experience in product analytics, digital analytics, or data analysis supporting digital products
• Strong SQL skills and experience working with large datasets
• Experience analyzing behavioral data such as funnels, cohorts, and user journeys
• Experience designing or evaluating product experiments (A/B tests, pilots, or controlled rollouts)
• Ability to translate complex analyses into clear insights for product and business partners
• Experience working closely with product managers, designers, and engineers
• Education: Bachelor’s degree in analytics, statistics, economics, computer science, or a related quantitative field

Preferred Qualifications

• Experience supporting B2B or operational products with complex workflows
• Familiarity with product analytics platforms (Amplitude, Mixpanel, GA4)
• Experience with visualization tools such as Tableau, Looker, or Sigma
• Exposure to statistical methods such as hypothesis testing or regression

Skills

• Analytical Rigor: Breaks down complex questions into clear analyses and surfaces patterns that guide decisions.
• Product Thinking: Connects insights to user needs, business outcomes, and product strategy.
• Measurement & Experimentation: Defines meaningful metrics, tests hypotheses, and evaluates impact with evidence.
• Data Storytelling: Communicates insights with clarity and influence through narratives and visualizations.
• Collaboration & Infl