Consultant, Data & Analytics, NA

coke; Atlanta (GA); On-site; USD 97,000 - 115,000; Full time

Job summary

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.

You will work with business and technical teams to design and deliver scalable data and AI solutions, gathering and validating requirements, and implementing governed data products. Strong SQL/Python skills and experience with Power BI are essential.

Qualifications

• Bachelor’s degree or higher in CS/Engineering/Business/IS/Finance or related field.
• Experience gathering, documenting, and validating data analytics requirements.
• Hands-on experience building reports/dashboards with Power BI or Tableau.
• Experience with data structures, semantic data models, and cross-functional collaboration.

Responsibilities

• Document, clarify, and validate functional/technical requirements with Data Engineers and Analytics Engineers.
• Collaborate to design and deliver scalable, high-quality data solutions.
• Contribute to data design discussions and validate data models against requirements.
• Use SQL, Python to explore, validate, troubleshoot, and reconcile data across datasets.
• Contribute to developing AI data agents using enterprise data foundations and frameworks.
• Perform data validation and QA across ingestion, transformation, semantic, and reporting layers.
• Investigate data quality issues and support resolution across systems.
• Maintain documentation including mappings, business rules, data flows, results, and lineage.
• Build reports/dashboards using curated datasets and semantic models with governance standards.
• Validate reporting uses trusted, well-defined data assets with Analytics Engineering.

Skills

SQL

Python

Power BI

Tableau

LLMs

Data governance

Data quality

ETL/ELT

Azure

Databricks

Education

Bachelor’s degree (CS/Engineering/Business/IS/Finance)

Tools

Microsoft Fabric

Foundry

Databricks

Job description

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 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:

7.5
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:

September 28, 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 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.