Role Overview
The Lead Product Data Analyst will join a team of product data analysts and data scientists to help define product outcomes, develop and test hypotheses, and influence prioritization and trade-off decisions across the product roadmap.
What You Will Do
The Lead Product Data Analyst will analyze product usage, funnels, customer journeys, and segments to uncover user behaviors, friction points, trends, and opportunities that inform product strategy and iteration.
Why It Might Be a Fit
This role is a strong fit for an analyst who enjoys working closely with product teams, is curious about how users behave, and is motivated by helping teams learn faster and make better decisions.
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, 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
Benefits
- Full range of medical, financial, and/or other benefits, dependent on the position
- Annual Incentive Reference Value Percentage: 30
- Annual Incentive reference value is a market-based competitive value for your role.
To apply for this job please visit coke.wd1.myworkdayjobs.com.
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