Product Data Analyst - Supply Chain Planning Platforms

The Coca-Cola Company•Atlanta, GA

1d•$143,400 - $169,300•Onsite

About The Position

Digital planning products are crucial for translating demand signals, operational constraints, and network decisions into executable supply chain plans. Our Supply Chain Capabilities organization develops and scales advanced Demand, Supply, Deployment, Network Optimization, and Transportation Planning tools that support decision-making across the entire supply chain. We are seeking a Product Data Analyst to join our product and engineering teams. This role will ensure these platforms are built on high-quality data, robust metrics, and actionable insights, operating at the intersection of supply chain expertise, analytics, and modern data platforms to support product discovery and delivery at scale.

Requirements

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.
Currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States.

Nice To Haves

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.

Responsibilities

Develop a deep understanding of demand, supply, inventory, deployment, transportation, and network data and its representation across planning products.
Analyze planning results, scenarios, and user workflows to identify gaps, constraints, and opportunities for improvement.
Support product discovery by translating complex operational questions into structured analyses and insights.
Partner with Product Managers to evaluate the value realization of 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 transition 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 to 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 improving analytical and data fluency among product and business partners.