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Data Visualization Developer Jobs in Georgia (NOW HIRING)

4P Consulting Inc.

Data Scientist 1

Atlanta, GA · On-site

Feature Engineering : Develop features from raw data to enhance machine learning models. * Machine ... Data Visualization : Create clear, insightful visualizations and reports to present findings to non ...

Equifax, Inc.

Sr. Data Analyst

Alpharetta, GA · On-site

$84K - $105K/yr

Serves as a thought leader for data visualization, developing new methodologies to improve ... Experience with product management, product ownership, or data engineering * Experience in Human ...

CEDENT

GCP Data Engineer

Alpharetta, GA · On-site

$111K - $134K/yr

... and data visualization. Qualifications: -Bachelors or Masters degree in Computer Science, Data Engineering, Information Systems, or a related field. -8+ years of hands-on experience in data ...

Home Depot

Senior Developer, Item Data

Atlanta, GA · On-site

The Senior Developer, Item Data, serves as the technical authority for the lifecycle of product ... Strong proficiency with data visualization tools such as Tableau or Power BI. * Excellent ability ...

Cedent

GCP Data Engineer (Alpharetta, GA)

Alpharetta, GA · On-site

$111K - $134K/yr

... and data visualization. Qualifications: -Bachelors or Masters degree in Computer Science, Data Engineering, Information Systems, or a related field. -8+ years of hands-on experience in data ...

CEDENT

GCP Data Engineer (Alpharetta, GA)

Alpharetta, GA

$111K - $134K/yr

... and data visualization. Qualifications: -Bachelors or Masters degree in Computer Science, Data Engineering, Information Systems, or a related field. -8+ years of hands-on experience in data ...

Pwc

Data Validation Risk - Manager

Atlanta, GA

$99K - $232K/yr

... Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance - At least one of the following: a Certification in databases (Databricks, MS SQL), visualization ...

Velociti Services

Senior Data Analyst

Atlanta, GA · On-site

$110K/yr

This role partners closely with business stakeholders, engineering teams, and leadership to deliver ... Experience with data visualization best practices and KPI development Requirements: * Ability to ...

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All JobsData Visualization Developer JobsData Visualization Developer Jobs in Georgia

Data Visualization Developer information

See Georgia salary details

$45.6K

$92.4K

$136.4K

How much do data visualization developer jobs pay per year?

As of Jul 21, 2026, the average yearly pay for data visualization developer in Georgia is $92,418.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,000.00 and $103,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Visualization Developer, and why are they important?

To thrive as a Data Visualization Developer, you need strong analytical skills, proficiency in data analysis, and expertise in visual design, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Tableau, Power BI, D3.js, and programming languages like JavaScript or Python is essential, and certifications in these platforms can be advantageous. Attention to detail, creativity, and effective communication are crucial soft skills for transforming complex data into clear, actionable visual insights. These skills ensure that stakeholders can easily interpret and leverage data for informed decision-making.

What is a Data Visualization Developer?

A Data Visualization Developer is a professional who designs, builds, and implements interactive visual representations of complex data sets. They use tools like JavaScript libraries (such as D3.js), Tableau, Power BI, or Python frameworks to turn raw data into charts, graphs, dashboards, and other visuals that help users understand patterns and insights. These developers often collaborate with data analysts, data scientists, and business stakeholders to ensure that visualizations are both accurate and user-friendly. Their work plays a vital role in helping organizations make data-driven decisions by making information accessible and easy to interpret.

What is the difference between Data Visualization Developer vs Data Analyst?

AspectData Visualization DeveloperData Analyst
Required SkillsData visualization tools, programming (JavaScript, Python), UI/UX designData analysis, statistical skills, Excel, SQL
Work EnvironmentDesigning dashboards, front-end visualization, interactive reportsData cleaning, querying databases, interpreting data trends
Common UsageCreating visual representations for insights and dashboardsAnalyzing data to inform business decisions

While both roles involve working with data, Data Visualization Developers focus on creating visual tools and dashboards to present data effectively, often requiring programming skills. Data Analysts interpret data and generate insights, emphasizing statistical analysis and data querying. Both roles are essential in data-driven organizations but serve different functions in the data workflow.

How does a Data Visualization Developer typically collaborate with data analysts and business stakeholders on projects?

Data Visualization Developers often work closely with data analysts to understand the underlying data and identify key insights that need to be communicated. They also engage with business stakeholders to clarify requirements and ensure the visualizations support decision-making processes. Regular meetings and iterative feedback cycles are common, helping to fine-tune dashboards and reports for clarity and usability. This collaborative environment encourages learning from different perspectives and fosters a team-oriented approach to solving business challenges.

What Is a Data Visualization Developer?

Data visualization pertains to any visual representation used to explain the significance of data. A data visualization developer is someone who creates these graphic representations. Their primary responsibilities are to produce visual depictions of text-based data that reveals the patterns, trends, or correlations between different points. Duties include using software to create dashboards to showcase information, performing data analysis and data modeling, and reporting on various data points. A data visualization developer may need to create a wide variety of graphics to display information, such as infographics, charts, graphs, data maps, or interactive data interfaces.

More about Data Visualization Developer jobs
What are popular job titles related to Data Visualization Developer jobs in Georgia? For Data Visualization Developer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Data Visualization Developer jobs in Georgia look for? The top searched job categories for Data Visualization Developer jobs in Georgia are:
What are popular job titles related to Data Visualization Developer jobs in GA? For Data Visualization Developer jobs in GA, the most frequently searched job titles are:
Data Visualization Developer jobs near you
Infographic showing various Data Visualization Developer job openings in Georgia as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $92,418 per year, or $44.4 per hour.
Data Scientist 1

Data Scientist 1

4P Consulting Inc.

Atlanta, GA • On-site

Full-time

Re-posted 25 days ago

Job description

Job Description:
4P Consulting Inc. is seeking a highly skilled Data Scientist to join our team. As a Data Scientist, you will leverage your expertise in data analysis and machine learning to extract valuable insights, solve complex problems, and support data-driven decisions. You will work with large datasets to drive innovation and help organizations improve performance across a variety of industries, including finance, healthcare, and technology.

Key Responsibilities:

  • Data Collection: Gather and collect large datasets from multiple sources, including APIs, databases, and external providers.
  • Data Cleaning: Preprocess and clean data to ensure consistency, address missing values, and remove outliers.
  • Exploratory Data Analysis (EDA): Conduct in-depth analysis to understand data characteristics and patterns.
  • Feature Engineering: Develop features from raw data to enhance machine learning models.
  • Machine Learning Modeling: Implement and develop machine learning models for business problems, including classification, regression, clustering, and recommendations.
  • Model Evaluation: Assess and fine-tune models using relevant evaluation metrics for optimal performance.
  • Data Visualization: Create clear, insightful visualizations and reports to present findings to non-technical stakeholders.
  • Predictive Analytics: Utilize statistical and machine learning techniques to predict trends and future outcomes.
  • Statistical Analysis: Apply statistical methods to test hypotheses and analyze data.
  • A/B Testing: Design and execute A/B tests to evaluate changes and improvements.
  • Data Integration: Integrate data science solutions into existing workflows and software systems.
  • Data Security: Ensure data privacy by implementing appropriate security measures.
  • Documentation: Maintain clear documentation of processes, models, and findings.
  • Continuous Learning: Stay current on developments in data science and machine learning.

Qualifications:

  • Education: Bachelor's degree in Computer Science, Statistics, Mathematics, or related field (Master's or Ph.D. preferred).
  • Programming Skills: Proficiency in Python or R.
  • Data Tools: Experience with machine learning and data analysis libraries (e.g., Pandas, NumPy, ScikitLearn, TensorFlow, PyTorch).
  • Database Knowledge: Strong understanding of SQL and relational databases.
  • Statistical Skills: Expertise in statistical analysis techniques.
  • Machine Learning: Deep knowledge of machine learning algorithms and techniques.
  • Data Visualization: Proficient in tools like Matplotlib, Seaborn, or Tableau.
  • Problem-Solving: Strong analytical and problem-solving skills.
  • Communication: Ability to clearly explain complex findings to non-technical audiences.
  • Collaboration: Experience working within cross-functional teams.
  • Domain Knowledge: Relevant industry experience (e.g., healthcare, finance) may be required.
  • Ethical Considerations: Knowledge of ethical data analysis practices, including privacy and bias concerns.

Benefits:

  • Competitive salary
  • Opportunities for career growth and development
  • Health and wellness benefits
  • Collaborative and dynamic work environment

How to Apply:
Please submit your resume and a cover letter to info@4pconsultinginc.com detailing your experience and why you’d be a great fit for the Data Scientist role.