Director, Product Data Analytics

Bodyarmor

Atlanta (GA)

On-site

USD 164,000 - 193,000

Full time

2 days ago

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Benefits offered by this job

Annual incentive program

Relocation assistance

Job summary

The Coca-Cola Company in Atlanta seeks a Director, Lead Product Data Analyst to lead product analytics and experimentation across digital experiences. You will define measurement strategies, analyze user behavior, and partner with product teams to drive outcome-based decisions.

Ideal candidates bring 7+ years in advanced analytics for digital products, strong SQL/Python (or R), and experience with Azure data tools.

Qualifications

Bachelor’s or Master’s degree in analytics, statistics, biostatistics, data science, economics, computer science, or 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, with 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, with the 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.

Responsibilities

Define and evolve product measurement strategies and success metrics across adoption, engagement, retention, product health, and value creation.
Analyze product usage, funnels, customer journeys, and segments to uncover user behaviors, friction points, trends, and opportunities that inform product strategy and iteration.
Apply advanced analytics, statistical methods, and experimentation, including A/B testing, incrementality testing, and quasi-experimental analysis, to understand 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 that strengthen analytical maturity and outcome-based decision-making across teams.