About Us
CPS (Commercial Products Supply) is a key part of the Advantaged Supply Chain of the Technical Function of The Coca-Cola Company. CPS manufactures concentrates and beverage bases for sale to bottling partners all over the world. This global organization manages a network of 19 manufacturing plants in 18 different countries along with 2 office locations (Atlanta & Drogheda, Ireland). CPS also manages complex additional materials supply chains (e.g. juice, coffee, tea, milk, etc.) on behalf of bottling partners.
The Data Analyst will support the design, development, and operation of data pipelines and platforms used across CPS plant operations and supply networks. This is a hands-on, entry-to-mid level technical role focused on building, testing, and supporting data engineering solutions under the guidance of senior data engineers.
Function Related Activities / Key Responsibilities
Assist in building and maintaining batch data pipelines using Python, SQL, and PySpark
Support data ingestion from APIs, databases, and operational systems
Develop and test data transformations and analytics-ready datasets
Help configure and maintain orchestrated workflows using Azure Data Factory (ADF)
Perform data validation and reconciliation to ensure accuracy and completeness
Monitor data pipelines and assist with troubleshooting production issues
Participate in code reviews and follow established engineering standards
Collaborate with senior data engineers to translate business requirements into technical solutions
Maintain documentation for pipelines, datasets, and data processing logic
Create reports and analytics for key stakeholders.
Functional Skills
Working knowledge of Python and SQL
Basic experience with PySpark or distributed data processing concepts
Familiarity with Azure Data Factory (ADF) or similar orchestration tools
Understanding of ETL/ELT concepts and data pipeline fundamentals
Experience querying data in cloud data warehouses (Snowflake, Synapse, etc.)
Familiarity with Git and collaborative development workflows
Willingness to learn production data engineering best practices
Excellent critical thinking, analytical and problem-solving skills
Related Work Experience
1–3 years of experience in data analytics, data engineering, or software engineering
Exposure to data pipelines, ETL/ELT processes, or analytics engineering
Experience working with cloud-based data platforms is a plus
Experience in manufacturing, supply chain, or operations environments preferred
Education Requirements
Bachelor’s degree in computer science, engineering, analytics, or a related technical field required
Relevant internships, coursework, or certifications are a plus
Skills
Tableau (Software)
Data Science
Data Analysis
Data Mining
SQL
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