Senior Product Data Analyst - Supply Chain
About The Position
Digital data products are central to how the NAOU Supply Chain plans, executes, and continuously improves end‑to‑end performance across sourcing, manufacturing, transportation, and customer fulfillment. Our Supply Chain Capabilities COE builds enterprise‑scale data products that create visibility, decision intelligence, and measurable business outcomes for planning, operations, and leadership across NAOU. We are hiring a Senior Data Analyst to join our Supply Chain Digital Enablement Team. This role is embedded within empowered, cross‑functional product teams and partners closely with Product Managers, Data Engineers, Product Designers, and business stakeholders to translate complex supply chain data into trusted insights and scalable data products. About the Role Senior Product Data Analysts are core contributors to the design, development, and adoption of supply chain data products. In this role, you will operate with a high degree of autonomy in complex, ambiguous problem spaces, helping teams understand operational performance, evaluate opportunities, and measure outcomes across the end‑to‑end supply chain. You will lead sophisticated analyses, shape data models and metrics, and influence prioritization and trade‑offs by grounding decisions in data. Beyond executing analysis, you will help elevate analytical standards across the organization by modeling strong analytical practice, strengthening measurement discipline, and enabling self‑service insight for product teams and stakeholders. This role is a strong fit for someone who thrives at the intersection of supply chain operations, data engineering, and analytics—turning complex, multi‑source operational data into clear insight, reliable reporting, and decision‑ready products.
Requirements
- Bachelor’s degree in analytics, statistics, economics, computer science, industrial engineering, supply chain, or a related quantitative field, or equivalent practical experience
- 5+ years of experience in data analysis, analytics, or business intelligence supporting complex operational or supply chain domains
- Strong experience working with large, complex, multi‑source datasets demonstrating proficiency in Microsoft Azure tools including Synapse, Fabric, PySpark Notebooks, and SQL
- Extensive experience working with supply chain data from systems such as SAP S/4HANA (e.g., procurement, inventory, planning, manufacturing, order‑to‑cash), Oracle Transportation Management (OTM), Manufacturing Execution Systems (MES), and other supply chain systems
- Strong understanding of how transactional supply chain data translates into operational KPIs, performance metrics, and decision support
- Experience with modern data product and product operating model concepts
- Proven ability to influence decisions through data and clear communication
- Strong collaboration skills and experience working within cross‑functional product or platform teams
- All applicants must be 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
- Master’s degree in a related quantitative or supply chain field
- Experience supporting enterprise‑scale supply chain data platforms or analytics products
- Experience working with supply chain optimization, planning, or execution data
- Exposure to statistical methods or advanced analytics applied to operational data
Responsibilities
- Develop a deep understanding of end‑to‑end supply chain processes and data, including procurement, manufacturing, inventory, transportation, and customer fulfillment
- Analyze large, complex datasets to identify performance drivers, risks, trade‑offs, and improvement opportunities across planning and execution
- Translate operational and optimization data into actionable insights that inform product strategy, roadmap decisions, and business priorities
- Go beyond describing what happened to explain why it happened and what actions should follow
- Proactively surface insights that help teams focus on the highest‑value opportunities
- Informally mentor analysts and partners through collaboration, review, and shared best practices
- Partner with Product Managers and stakeholders to define product objectives, success metrics, KPIs, and outcome‑based measures
- Design and maintain analytical models, metrics, and business logic that support scalable data products and decision intelligence
- Support movement from static reporting toward reusable, trusted data assets and analytical products
- Advise on the appropriate level of analytical rigor based on decision risk, business value, and operational impact
- Work closely with data engineering teams to define, validate, and evolve data models in Microsoft Azure
- Ensure analytical outputs are accurate, reliable, and aligned to supply chain process realities
- Act as a steward of data quality, metric definitions, and analytical assumptions across products
- Document data logic, metrics, and methodologies to support transparency, reuse, and auditability
- Create dashboards, analytical views, and narratives that make complex supply chain data accessible and actionable
- Communicate insights clearly to technical and non‑technical audiences, including supply chain leaders
- Contribute to a data‑informed culture by raising analytical fluency across supply chain product teams
- Collaborate with other analysts, data engineers, and data scientists to align insight across domains
Benefits
- A full range of medical, financial, and/or other benefits, dependent on the position, is offered.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Number of Employees
5,001-10,000 employees
