Consultant, Data & Analytics, NA
Job Description Summary:
Position Overview
The Coca-Cola Company is seeking a Consultant, Data Analyst (Data Solutions) to support the Data Analytics & Engineering team within the Digital & Data NAOU organization.
This role supports the design and delivery of scalable, high-quality data and AI solutions by working closely with business and technical teams. The position helps gather, document, and validate business requirements while partnering with Data Engineering and Analytics Engineering teams to implement governed datasets and data products.
The ideal candidate brings strong analytical and problem-solving skills, a solid understanding of data structures, LLM-enabled data solutions, and semantic models, along with hands-on experience building reports and dashboards using curated datasets (e.g., Power BI). This role provides hands-on support for data validation, troubleshooting, and reporting activities, helping ensure solutions are accurate, reliable, and aligned with business needs.
What You’ll Do for Us
Function Related Activities / Key Responsibilities
- Support the documentation, clarification, and validation of functional and technical requirements while working closely with Data Engineers and Analytics Engineers.
- Collaborate with Data Engineers, Architects, and Solution Owners to support the design and delivery of scalable, high-quality data solutions.
- Contribute to conceptual and logical data design discussions and help validate that requirements are accurately reflected in data models.
- Use SQL, Python, and related tools to perform data exploration, validation, troubleshooting, and reconciliation across complex datasets.
- Contribute to developing and testing AI data agents that leverage enterprise data foundations and technologies such as Microsoft Foundry and Microsoft Fabric.
- Execute data validation and QA/testing activities across ingestion, transformation, semantic, and reporting layers under the guidance of Solution Owners, documenting findings and defects.
- Investigate and support resolution of data quality, integrity, and consistency issues across systems.
- Contribute to the development and maintenance of documentation including source-to-target mappings, business rules, data flows, test results, and data lineage.
- Build reports and dashboards using curated datasets and existing semantic models while adhering to established KPI definitions and governance standards.
- Work closely with Analytics Engineering teams to validate that reporting uses trusted, 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, troubleshooting, root-cause analysis, business insights, and product decisions.
Education Requirements
Bachelor’s degree in Computer Science, Engineering, Business, Information Systems, Finance, or a related field.
Related Work Experience
- Experience supporting requirements gathering, documentation, and validation for data and analytics solutions.
- Hands-on experience building reports and dashboards using Power BI, Tableau, or similar tools.
- Experience with data structures, relational data concepts, and semantic data models.
- Experience collaborating with business, engineering, and architecture teams.
- Experience contributing to the development and testing of AI agents leveraging enterprise data models and Agentic AI frameworks.
Functional & Technical Skills
- Proficiency in SQL and Python with ability to work across large, complex datasets.
- 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).
- Familiarity with developing and testing AI agents using agentic AI frameworks and LLMs.
- Effective communication skills with the ability to work independently and collaborate across cross-functional teams.
Preferred Experience
- Experience working in the CPG domain or beverage sector.
- Experience working with data lake, data warehouse, or lakehouse architectures.
- Exposure to enterprise data governance and data quality frameworks.
- Experience with data validation, testing, or reconciliation processes.
- Experience working in data environments with multiple source systems.
What We’ll Do For You
- Purpose Driven: Purpose-driven approach that empowers our people to protect the environment and communities we serve while delivering safe & quality products.
- Global Connections: You can develop, enhance, and maintain global connections to move faster and learn from others.
- Community of Belonging: We’re an organization that believes our ability to continually grow and build the right atmosphere where people feel safe and empowered lets you bring your best self to work.
Skills:
Pay Range:
United States: 96,500 - 115,000 USDBase 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:
7.5Annual 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 AmericaCity/Cities:
AtlantaTravel Required:
00% - 25%Relocation Provided:
NoJob Posting End Date:
September 28, 2026Our 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.