Senior Product Data Analyst - Supply Chain

Job Description Summary:

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.

Responsibilities

Supply Chain Analytics & Insight

• 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

Data Product Development & Measurement

• 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

Data Quality, Modeling & Integration

• 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

Insight Communication & Influence

• 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

Tools & Technologies

This role will actively use and support data products built on:

• Microsoft Azure Synapse Analytics and Microsoft Fabric

• PySpark Notebooks for data exploration, transformation, and analysis

• Microsoft Azure Pipelines for analytics workflows and data product deployment

• SQL‑based analytics across large‑scale enterprise datasets

• Visualization and reporting tools such as Power BI

Key Qualifications

• 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

Preferred Qualifications

• 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

Skills

• Analytical Rigor: Breaks down complex operational questions into clear, structured analyses

• Supply Chain Acumen: Understands end‑to‑end supply chain processes and metrics

• Product & Systems Thinking: Connects data insight to scalable data products and business outcomes

• Data Storytelling: Communicates insights with clarity through visuals and narratives

• Collaboration & Influence: Builds trust across supply chain, product, and technology partners

The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, 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.

Skills:

Agile Methodology, Business Process Modeling, Change Management, Cloud Platform, Communication, Data Flow Diagram, DevOps, Digital Transformation, Enterprise Architecture Framework, Microsoft Azure Databricks, Microsoft Office, User Experience (UX)

Pay Range:

United States of America: $164,000 - $193,000

Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.

Annual Incentive Reference Value Percentage:

30

Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.

Location(s):

United States of America

City/Cities:

Atlanta

Travel Required:

00% - 25%

Relocation Provided:

Yes

Job Posting End Date:

May 9, 2026

Our Purpose and Growth Culture:

We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors – curious, empowered, inclusive and agile – and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thr