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Full Stack Data Analyst Jobs in Georgia (NOW HIRING)

WickedFile

Full Stack Software Engineer

Roswell, GA · On-site

$80K - $100K/yr

Lead Software Engineer (On-Site, Roswell, GA) We are an automotive-services analytics startup ... Design and maintain the data model and migrations (single app schema, integer-cents money ...

Net Orbit

Java Full Stack Developer

Atlanta, GA · On-site

$50.50 - $65.25/hr

Java Full Stack Developer Location: Atlanta, GA (onsite) Duration: 12+ months Interview: Phone ... Hands on experience of designing and writing automated tests for backend applications and data flow ...

Ntegral Inc.

Full Stack Developer

Atlanta, GA · On-site

$120K - $155K/yr

Analyze user needs and system requirements to determine feasibility and scope of development work ... A minimum of 5 years of professional full-stack development experience required, with demonstrated ...

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All JobsFull Stack Data Analyst JobsFull Stack Data Analyst Jobs in Georgia

Full Stack Data Analyst information

See Georgia salary details

$28.7K

$69.8K

$114.8K

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

As of Jul 13, 2026, the average yearly pay for full stack data analyst in Georgia is $69,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,800.00 and $81,900.00 per year, depending on experience, location, and employer.

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 Georgia? For Full Stack Data Analyst jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Full Stack Data Analyst jobs in Georgia look for? The top searched job categories for Full Stack Data Analyst jobs in Georgia are:
What cities in Georgia are hiring for Full Stack Data Analyst jobs? Cities in Georgia with the most Full Stack Data Analyst job openings:
Full Stack Data Analyst jobs near you
Full Stack Developer

Full Stack Developer

Intercontinental Exchange Holdings, Inc.

Atlanta, GA • On-site

Full-time

Re-posted 29 days ago

Job description

Overview
Job Purpose
ICE Data Services (an Intercontinental Exchange company) is seeking a mid-level full-stack developer to join its Data Impact & Innovation team. This team supports a variety of reference data, index, climate finance, and alternative data products. This role presents a unique opportunity to support and enhance big data applications and products aimed at helping the financial sector understand and respond to carbon transition risk, physical risk, and related challenges.
Responsibilities
  • Develop and enhance web-based UI applications around the ICE Climate datasets:
    • Use modern front-end frameworks for building crisp and clear visualizations
    • Design and implement data modeling and transformation sufficient to support API endpoints for front-end visualizations
    • Hands-on execution of all stages of the development lifecycle, from rapid prototyping, to iterative refinement based on user feedback, to testing remediation and release.
  • Support integration and enhancement of existing web applications that allow coherent exploration and analysis of multiple climate datasets and methodologies across different financial asset classes
  • Design and implement client-side strategies for rendering large geospatial and tabular datasets at scale, including appropriate use of tiling, virtualization, caching, and data-reduction techniques
  • Lead efforts to design, architect, and implement software components with minimal oversight.
  • Independently handle project activities related to builds and deployments.
  • Write and maintain automated tests, including end-to-end testing with tools like Playwright, to verify the functionality and quality of the software.
  • Effectively leverage AI and LLM-based developer tooling to accelerate development workflows and improve code quality.
  • Identify opportunities to improve and optimize applications.
  • Work with business analysts and product management to understand and refine new requirements.

Knowledge and Experience
  • 3+ years of professional experience and demonstrated ability in most of the following areas:
  • JavaScript technologies such as React and TypeScript
  • Node.js backend frameworks, particularly NestJS
  • Python web backend frameworks, particularly FastAPI
  • Relational databases and SQL, with comfort reading and writing analytical queries against cloud data warehouses (e.g. Google BigQuery)
  • Core knowledge of fundamental web protocols and standards (HTML5, HTTP, WebSockets, CORS, cookies and session management, etc.)
  • Cloud computing and infrastructure, especially Google Cloud Platform
  • Client-side mapping using Mapbox GL JS, including working with vector tiles, GeoJSON, and custom source/layer/style configuration
  • Spatial data in relational databases, particularly PostGIS, including spatial indexes and SQL-level geometric operations
  • Demonstrated ability to optimize web applications for performant client-side rendering of large datasets - familiarity with strategies such as vector tiles, virtualization, web workers, data decimation, client-side caching (IndexedDB), React performance profiling, and GPU-accelerated rendering
  • Automated testing frameworks, particularly end-to-end browser testing (e.g. Playwright)
  • Practical experience using AI/LLM coding assistants and a demonstrated ability to integrate them productively into development workflows
  • Excellent written and verbal communication skills, in order to collaborate effectively with in-person and remote technical colleagues, business stakeholders, and client end-users to brainstorm tradeoffs and timelines.

#LI-HR1 #LI-ONSITE
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Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.

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