Product Data Analyst - Supply Chain Planning Platforms
US - GA - Atlanta, US
Full-time
Onsite
$143K/yr - $169K/yr
Entry, Mid Level
The Coca-Cola Company is a leading beverage corporation, and they are seeking a Product Data Analyst to support their supply chain planning platforms. This role involves working with cross-functional teams to ensure high-quality data and actionable insights are integrated into supply chain planning products.
Develop deep understanding of demand, supply, inventory, deployment, transportation, and network data and how it is represented across planning products
Analyze planning results, scenarios, and user workflows to identify gaps, constraints, and improvement opportunities
Support product discovery by translating complex operational questions into structured analyses and insights
Partner with Product Managers to evaluate value realization from planning capabilities (e.g., service, inventory, cost, utilization)
Define and maintain product and outcome-based metrics tied to planning performance, adoption, and decision quality
Establish KPIs that connect planning outputs to downstream execution and business outcomes
Support pilots, releases, and enhancements by measuring impact before and after deployment
Help teams move from solution delivery metrics to decision and outcome-based measurement
Partner with engineering and data teams to ensure supply chain data is accurate, complete, and fit-for-purpose
Validate inbound data from enterprise source systems and outbound planning results used by downstream consumers
Document metric definitions, grain, assumptions, and data lineage across planning domains
Support root cause analysis for data issues impacting planning results or user trust
Build reusable analyses, dashboards, and exploratory notebooks that support product teams and stakeholders
Use SQL and PySpark to analyze large, complex planning datasets across multiple domains
Create clear narratives and visualizations to explain trade-offs, scenarios, and recommendations
Contribute to raising analytical and data fluency across product and business partners
Qualification
Required
Bachelor's degree in analytics, supply chain, industrial engineering, computer science, economics, or related quantitative field (or equivalent practical experience)
2-5 years of experience in data analysis, product analytics, or decision support, preferably in supply chain or operations environments
Strong proficiency in SQL and experience working with large, complex, multi-source datasets
Hands-on experience with PySpark or distributed data processing frameworks
Demonstrated experience analyzing supply chain data (demand, supply, inventory, transportation, or network models)
Ability to connect analytical results to business decisions and product priorities
Strong collaboration skills in cross-functional, product teams
Preferred
Advanced degree in Supply Chain, Analytics, Operations Research, or related field
Experience supporting planning, optimization, or decision intelligence products
Familiarity with SAP table structures and planning-related data models
Experience validating and reconciling data across multiple enterprise systems
Exposure to outcome-based product operating models
Experience partnering with data engineers, product managers, product designers and supply chain teams
Benefits
A full range of medical, financial, and/or other benefits, dependent on the position, is offered.
The Coca-Cola Company is a soft drink manufacturer & distributor that makes a variety of soft drinks, including diet coke and regular coke.
