Data Analyst

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

Data Science; Structured Query Language (SQL); Data Analysis; Tableau (Software); Data Mining