About this role
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:
Translate business needs into clear functional and technical requirements, working closely with Data Engineers and Analytics EngineersCollaborate with Data Engineers, Architects, and Solution Owners to design and deliver scalable, high-quality data solutionsContribute to conceptual and logical data design discussions, ensuring business requirements are accurately reflected in data modelsUse SQL, Python, and related tools to perform data exploration, validation, and reconciliation across complex datasetsCreate AI data agents leveraging our data foundation as base technology stack such Microsoft foundry & fabricDefine and execute business-aligned data validation and QA/testing strategies across ingestion, transformation, and reporting layersIdentify and resolve data quality, integrity, and consistency issues across systemsDevelop and maintain documentation such as source-to-target mappings, business rules, data flows, and data lineageBuild reports and dashboards using curated datasets and existing semantic models, ensuring standardized and governed KPI usagePartner with Analytics Engineering teams to ensure reporting is built on trusted, scalable, and well-defined data assetsSupport data governance and quality practices, including metadata, data definitions, and access controlsConduct descriptive and diagnostic analysis to support data validation, business insights, and product decision Education Requirements: 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 solutionsHands-on experience building reports and dashboards using Power BI, Tableau, or similar toolsExperience in data structures, relational data concepts, and semantic data modelsProven ability to collaborate across business, engineering, and architecture teamsExperience in AI architecture for enabling and building AI agents on enterprise data models using Agentic AI frameworks. Functional and Technical
Proficiency in SQL and/or Python with ability to work across large, complex datasetsStrong analytical and problem-solving skills with attention to data quality and accuracyFamiliarity 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 modelsExcellent communication skills with ability to work independently while driving across cross-functional teams Preferred Experience
Expereince working in CPG domain or beverage sectorExperience working with data lake / data warehouse / lakehouse architecturesExposure to enterprise data governance and data quality frameworksFamiliarity with data validation, testing, or reconciliation processesExperience working in enterprise-scale data environments with multiple source systems The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States.
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