What are the responsibilities and job description for the Data Analyst (Data Solutions) position at The Coca-Cola Company?
Position Overview
The Coca-Cola Company is seeking a Manager, Data Analyst (Data Solutions) to support the Data Analytics & Engineering team within the Digital & Data NAOU organization.
This role serves as a critical bridge between business stakeholders and technical teams, enabling the design and delivery of scalable, high-quality data and AI solutions. The position is responsible for gathering and translating business requirements, and partnering closely with Data Engineering and Analytics Engineering teams to ensure those requirements are accurately implemented as governed data set or data product.
The ideal candidate brings strong analytical and problem-solving skills, a solid understanding of data structures, usage of LLM models for data, and semantic models, and hands-on experience building reports and dashboards using curated datasets (e.g., Power BI). This role plays a key part in ensuring data solutions are aligned to business intent, validated for accuracy, and deliver actionable insights.
Function Related Activities/Key Responsibilities
Bachelor’s degree in Computer Science Engineering, Business, Information Systems, Finance, or a related field
Related Work Experience
Pay Range
United States of America: 124,600 USD - 148,200 USD
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
15
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:
No
Job Posting End Date
July 15, 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 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 USD - 0 USD
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:15
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.
Long-term Incentive Reference Value Percentage:0 - 20
Long-term Incentive reference value is a market-based competitive value for your role
The Coca-Cola Company is seeking a Manager, Data Analyst (Data Solutions) to support the Data Analytics & Engineering team within the Digital & Data NAOU organization.
This role serves as a critical bridge between business stakeholders and technical teams, enabling the design and delivery of scalable, high-quality data and AI solutions. The position is responsible for gathering and translating business requirements, and partnering closely with Data Engineering and Analytics Engineering teams to ensure those requirements are accurately implemented as governed data set or data product.
The ideal candidate brings strong analytical and problem-solving skills, a solid understanding of data structures, usage of LLM models for data, and semantic models, and hands-on experience building reports and dashboards using curated datasets (e.g., Power BI). This role plays a key part in ensuring data solutions are aligned to business intent, validated for accuracy, and deliver actionable insights.
Function Related Activities/Key Responsibilities
- Translate business needs into clear functional and technical requirements, working closely with Data Engineers and Analytics Engineers
- Collaborate with Data Engineers, Architects, and Solution Owners to design and deliver scalable, high-quality data solutions
- Contribute to conceptual and logical data design discussions, ensuring business requirements are accurately reflected in data models
- Use SQL, Python, and related tools to perform data exploration, validation, and reconciliation across complex datasets
- Create AI data agents leveraging our data foundation as base technology stack such Microsoft foundry & fabric
- Define and execute business-aligned data validation and QA/testing strategies across ingestion, transformation, and reporting layers
- Identify and resolve data quality, integrity, and consistency issues across systems
- Develop and maintain documentation such as source-to-target mappings, business rules, data flows, and data lineage
- Build reports and dashboards using curated datasets and existing semantic models, ensuring standardized and governed KPI usage
- Partner with Analytics Engineering teams to ensure reporting is built on trusted, scalable, and well-defined data assets
- Support data governance and quality practices, including metadata, data definitions, and access controls
- Conduct descriptive and diagnostic analysis to support data validation, business insights, and product decision
Bachelor’s degree in Computer Science Engineering, Business, Information Systems, Finance, or a related field
Related Work Experience
- Strong experience gathering requirements and translating business needs into data and analytics solutions
- Hands-on experience building reports and dashboards using Power BI, Tableau, or similar tools
- Experience in data structures, relational data concepts, and semantic data models
- Proven ability to collaborate across business, engineering, and architecture teams
- Experience in AI architecture for enabling and building AI agents on enterprise data models using Agentic AI frameworks.
- Proficiency in SQL and/or Python with ability to work across large, complex datasets
- Strong analytical and problem-solving skills with attention to data quality and accuracy
- Familiarity with ETL/ELT processes, data pipelines, and modern data platforms (e.g., Azure, Microsoft Fabric, Databricks)
- Proficient in creating AI agents that can converse with data models leveraging Agentic AI frameworks and LLM models
- Excellent communication skills with ability to work independently while driving across cross-functional teams
- Expereince working in CPG domain or beverage sector
- Experience working with data lake / data warehouse / lakehouse architectures
- Exposure to enterprise data governance and data quality frameworks
- Familiarity with data validation, testing, or reconciliation processes
- Experience working in enterprise-scale data environments with multiple source systems
Pay Range
United States of America: 124,600 USD - 148,200 USD
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
15
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:
No
Job Posting End Date
July 15, 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 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 USD - 0 USD
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:15
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.
Long-term Incentive Reference Value Percentage:0 - 20
Long-term Incentive reference value is a market-based competitive value for your role