Data Analyst, Data Solutions

The Coca‑Cola Company

Quick summary

Work type: On-site
Location: Atlanta, GA
Salary: $124,600–$148,200 / yr
Posted: 3 days ago
Closes: Jul 16, 2026
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $148k

This role $136k

$90k most similar roles pay here $185k

This role pays more than 53% of similar roles. Most pay $126,800–$168,975 — the shaded band above. At the midpoint, this role pays about $136k versus about $148k for comparable roles.

Based on 240 similar postings.

Employer

About The Coca‑Cola Company

The Coca-Cola Company is the world''s largest beverage company, producing and distributing iconic soft drinks, juices, water, and other beverages across more than 200 countries. Industry: Beverages & Consumer Goods

The Coca‑Cola Company currently has 8 open roles on FindRole.

Listed pay typically runs $161,500–$188,150 across 8 roles with salary data.

Most-posted roles

View all roles at The Coca‑Cola Company

At a glance

TL;DR · Data Analyst, Data Solutions

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The Coca-Cola Company is hiring a Manager, Data Analyst (Data Solutions) to join the Digital & Data NAOU organization's Data Analytics & Engineering team. This senior-level role involves translating business needs into clear technical requirements and collaborating with data engineers and analytics teams to design scalable data solutions. Day-to-day responsibilities include using SQL and Python for data exploration, validation, and reconciliation, creating AI agents with Microsoft Fabric, and building reports and dashboards in Power BI. The ideal candidate has experience in ETL processes, modern data platforms like Azure and Databricks, and a strong background in data governance and quality practices. Familiarity with the CPG domain or beverage sector is preferred, as well as hands-on experience with semantic models and AI frameworks for enterprise-scale environments.

Skills

SQL Python Power BI Tableau Azure Microsoft Fabric Databricks Agentic AI frameworks LLM models ETL/ELT Data governance Data validation Data quality Metadata management Descriptive and diagnostic analysis CI/CD

What you'll do

Translate business needs into clear functional and technical requirements for data solutions.
Design scalable, high-quality data solutions by collaborating with Data Engineers and Architects.
Use SQL, Python, and related tools to explore, validate, and reconcile complex datasets.
Create AI data agents using Microsoft Foundry & Fabric as the base technology stack.
Define and execute data validation strategies across ingestion, transformation, and reporting layers.
Develop documentation such as source-to-target mappings, business rules, and data lineage.

What we're looking for

Strong experience in gathering and translating business requirements into data solutions.
Hands-on experience building reports and dashboards using Power BI or similar tools.
Proficiency in SQL and Python for working with large, complex datasets.
Experience in designing and implementing scalable data solutions with Data Engineers.
Familiarity with modern data platforms like Azure, Microsoft Fabric, and Databricks.
Ability to create AI agents that converse with enterprise data models using LLMs.
Strong analytical skills and attention to data quality and accuracy.

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