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Consultant, Data & Analytics, NA

Atlanta, GA, US • Posted 2 days ago • Updated 2 hours ago

Full Time

On-site

The Coca-Cola Company

Fitment

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Job Details

Skills

Data Analysis
Data Engineering
Quality Assurance
Business Rules
Data Flow
KPI
Reporting
Meta-data Management
Access Control
Root Cause Analysis
Computer Science
Information Systems
Finance
Requirements Elicitation
Documentation
Analytics
Dashboard
Microsoft Power BI
Tableau
Data Structure
Semantics
SQL
Python
Analytical Skill
Conflict Resolution
Problem Solving
Extract
Transform
Load
ELT
Microsoft Azure
Microsoft
Databricks
Artificial Intelligence
Effective Communication
Collaboration
Data Lake
Data Warehouse
Data Governance
Data Quality
Data Validation
Testing
SAFE

Data Analysis
Data Engineering
Quality Assurance
Business Rules
Data Flow
KPI
Reporting
Meta-data Management
Access Control
Root Cause Analysis
Computer Science
Information Systems
Finance
Requirements Elicitation
Documentation
Analytics
Dashboard
Microsoft Power BI
Tableau
Data Structure
Semantics
SQL
Python
Analytical Skill
Conflict Resolution
Problem Solving
Extract
Transform
Load
ELT
Microsoft Azure
Microsoft
Databricks
Artificial Intelligence
Effective Communication
Collaboration
Data Lake
Data Warehouse
Data Governance
Data Quality
Data Validation
Testing
SAFE

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: coke
Position Id: R-146600
Posted 2 days ago

Company Info

About The Coca-Cola Company

On May 8, 1886, Dr. John Pemberton brought his perfected syrup to Jacobs' Pharmacy in downtown Atlanta, where the first glass of Coca‑Cola was poured. In its first year, about nine Coca-Cola drinks were served per day.

Today, The Coca-Cola Company, with numerous brands sold across more than 200 countries and territories, serves 2.2 billion drinks per day. We own 32 billion-dollar brands across several beverage categories worldwide. Our global portfolio of beverage brands includes the following:

• Sparkling Soft Drinks: Coca-Cola, Diet Coke/Coca-Cola Light, Coca-Cola Zero Sugar, Fanta, Fresca, Schweppes (owned by The Coca-Cola Company in certain countries other than the United States), Sprite and Thums Up
• Water, Sports, Coffee and Tea: Aquarius, Ayataka, BODYARMOR, Ciel, Costa, Crystal, Dasani, Fuze Tea, Georgia, glacéau smartwater, glacéau vitaminwater, Gold Peak, I LOHAS, Powerade and Topo Chico
• Juice, Value-Added Dairy and Plant-Based Beverages: Core Power, Del Valle, fairlife, innocent, Maaza, Minute Maid, Minute Maid Pulpy, Santa Clara and Simply

Our strong and stable bottling and distribution system helps us capture growth by manufacturing, distributing and selling existing, enhanced and new innovative products to consumers throughout the world.

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