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Full Stack Data Analyst Jobs in Atlanta, GA (NOW HIRING)

Primerica, Inc.

Full Stack Developer

Duluth, GA · On-site

$125K - $140K/yr

Develop and optimize data access with IBM DB2, MongoDB , and Prisma ORM for type-safe schema and ... Analyze complex system requirements, information flows, and integration points to deliver optimal ...

Primerica

Full Stack Developer

Duluth, GA · On-site

$125K - $140K/yr

Develop and optimize data access with IBM DB2, MongoDB , and Prisma ORM for type-safe schema and ... Analyze complex system requirements, information flows, and integration points to deliver optimal ...

AgileEngine

Full Stack Engineer ID80989

Atlanta, GA · On-site

ABOUT THE ROLE We are looking for a Full Stack Engineer to build and maintain features across a ... You will contribute to AI and LLM-adjacent codebases, work with sensitive regulated data, and ...

Clerkie

Full-Stack Engineer

Atlanta, GA · Remote

$90/hr

About the role We're looking for a Full-Stack engineer who wants to build, own, and ship end-to-end ... Experience working on data-intensive or complex applications * Familiarity with fintech or ...

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Showing results 21-40

All JobsFull Stack Data Analyst JobsFull Stack Data Analyst Jobs in Atlanta, GA

Full Stack Data Analyst information

See Atlanta, GA salary details

$32.7K

$79.5K

$130.8K

How much do full stack data analyst jobs pay per year?

As of Aug 12, 2026, the average yearly pay for full stack data analyst in Atlanta, GA is $79,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,100.00 and $93,300.00 per year, depending on experience, location, and employer.

What is a full stack data analyst?

A full stack data analyst is a professional who handles all aspects of data analysis, including data collection, cleaning, visualization, and reporting, often using tools like SQL, Python, or R. They possess skills across data management, analysis, and presentation, enabling them to work independently on end-to-end data projects.

What is the difference between Full Stack Data Analyst vs Data Scientist?

AspectFull Stack Data AnalystData Scientist
Required SkillsData analysis, visualization, basic programming, SQL, reportingAdvanced programming, statistical modeling, machine learning, data engineering
Work EnvironmentBusiness teams, analytics departments, reporting toolsResearch teams, data science departments, AI/ML projects
CertificationsData analysis, SQL, Excel certificationsData science, machine learning, Python/R certifications
Industry UsageBusiness intelligence, marketing, financeResearch, AI development, predictive modeling

While both roles involve working with data, Full Stack Data Analysts focus on end-to-end data analysis and reporting within business contexts, whereas Data Scientists develop advanced models and algorithms for predictive insights. The roles often overlap in skills like SQL and programming, but Data Scientists typically require deeper expertise in statistical methods and machine learning.

What are popular job titles related to Full Stack Data Analyst jobs in Atlanta, GA? For Full Stack Data Analyst jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Full Stack Data Analyst jobs in Atlanta, GA look for? The top searched job categories for Full Stack Data Analyst jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Full Stack Data Analyst jobs? Cities near Atlanta, GA with the most Full Stack Data Analyst job openings:
Full Stack Data Analyst jobs near you
Infographic showing various Full Stack Data Analyst job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 11% Part Time, and 6% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $79,471 per year, or $38.2 per hour.

AWS Full stack Developer

Xoriant Corporation

Atlanta, GA • On-site

Other

Re-posted 14 days ago

Job description

Senior Software Engineer

We are seeking a skilled Senior Software Engineer to contribute to the full-stack design, development, and delivery of software solutions within a high-velocity engineering team. This role blends deep engineering excellence with a modern AI-first mindset — including the ability to rapidly prototype using GenAI platforms to accelerate team output and

innovation.

WHAT YOU''''LL DO

AWS Cloud, Serverless & Microservices Architecture

  • Design and deliver cloud-native, microservices-based solutions on AWS, applying microservices principles across the full stack — frontend, backend, and cloud infrastructure — to build scalable, secure, and highly available systems, leveraging a broad and growing set of services including but not limited to:
  • Compute: Lambda, Step Functions
  • API, Auth & CDN: API Gateway, Cognito, CloudFront
  • Messaging & Events: SQS, SNS, EventBridge, Kinesis
  • Data: DynamoDB, S3, Aurora Serverless, OpenSearch, Kinesis Firehose
  • Configuration: SSM Parameter Store
  • Observability: CloudWatch, X-Ray
  • IaC: CDK, SAM, CloudFormation
  • And more across the broader AWS ecosystem
  • Build and maintain scalable REST APIs using API Gateway and Lambda
  • Support cloud cost optimization, security posture, and performance tuning efforts
  • Implement CI/CD pipelines, infrastructure-as-code (AWS CDK/SAM), and blue/green deployment strategies
  • Ensure production readiness through observability, automated testing, and monitoring

Full-Stack, Microservices & Cross-Platform Development

  • Design, develop, test, and deploy full-stack applications and microservices across Flutter/Dart (mobile & cross-platform), React/JavaScript (web), and Python/Node.js/Java/Spring Boot (backend)
  • Build responsive, performant web interfaces using React and JavaScript, ensuring seamless user experiences across devices
  • Develop robust backend services and RESTful APIs using Java/Spring Boot, Python, and Node.js following microservices design principles
  • Create and maintain cross-platform mobile and web applications using Flutter/Dart, delivering consistent experiences across iOS, Android, and web
  • Apply microservices best practices including service decomposition, independent deployability, and fault tolerance across the full stack

AI-Assisted Engineering & Rapid Prototyping

  • Rapidly prototype new product concepts using GenAI and LLM platforms
  • Apply AI-assisted development tools to accelerate code generation, testing, documentation, and code review
  • Evaluate AI-generated outputs for correctness, security, and production readiness
  • Follow team-level standards and best practices for AI tool adoption
  • Contribute to ideate → prototype → validate → ship cycles within fast-moving engineering teams

Collaboration & Mentorship

  • Participate in code reviews and contribute to engineering best practices
  • Support and mentor mid-level and junior engineers on design, cloud practices, and AI tool usage
  • Promote a culture of quality, continuous improvement, and learning

Apply