Head of Product Data Analytics

The Coca-Cola Company

Atlanta (GA)

On-site

USD 164,000 - 193,000

Full time

2 days ago
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Job summary

The Coca-Cola Company is seeking a Lead Product Data Analyst to drive analytics across our digital product portfolio in Atlanta. You will partner with product, design, and engineering teams to define outcomes, measure adoption and engagement, and influence roadmap decisions.

You will apply advanced analytics, experiments, and data storytelling to surface actionable insights and enable faster learning. A strong emphasis on data quality and instrumented measurement is required.

Qualifications

  • Bachelor’s or Master’s degree in analytics, statistics, data science, economics, computer science, or related field, or equivalent experience.
  • 7+ years of experience in advanced analytics or applied data science for digital products.
  • Strong foundation in experimental design, causal inference, and statistical methods.
  • Proficient in SQL and Python or R; experience with Azure data tools and large datasets.

Responsibilities

  • Define product measurement strategies across adoption, engagement, retention, health, and value.
  • Analyze product usage, funnels, journeys, and segments to uncover user insights.
  • Apply A/B testing, incrementality and quasi-experimental analyses to quantify impact.
  • Partner with Product, Design, Engineering, Data, Commercial and Operations to translate insights into strategy.
  • Develop dashboards and data narratives for accessible, actionable outcomes.

Skills

Analytical rigor
Measurement & Experimentation
Product thinking
Data storytelling
Collaboration and influence
Bias for Action

Education

Bachelor’s or Master’s degree in analytics, statistics, data science, economics, CS

Tools

Azure Synapse
Fabric
PySpark notebooks
Microsoft Azure Databricks

Job description

The Coca-Cola Company is seeking a Lead Product Data Analyst to drive analytics across our digital product portfolio in Atlanta. You will partner with product, design, and engineering teams to define outcomes, measure adoption and engagement, and influence roadmap decisions.

You will apply advanced analytics, experiments, and data storytelling to surface actionable insights and enable faster learning. A strong emphasis on data quality and instrumented measurement is required.

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