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.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 thrive after 130+ years. Visit Our Purpose and Vision (https://www.coca-colacompany.com/company/purpose-and-vision) to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.Pay Range:United States of America: $0 - $0Base 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:30Annual 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.Long-term Incentive Reference Value Percentage:0 - 20Long-term Incentive reference value is a market-based competitive value for your role
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.
