ZipRecruiter

Log In

1

Data Visualization Jobs in Georgia (NOW HIRING)

4P Consulting Inc.

Data Scientist 1

Atlanta, GA

Data Visualization : Create clear, insightful visualizations and reports to present findings to non-technical stakeholders. * Predictive Analytics : Utilize statistical and machine learning ...

4pconsultinginc

Data Scientist II

Atlanta, GA · On-site

Monitor model performance and retrain as needed Data Visualization & Communication * Develop dashboards and visualizations using Tableau, Power BI, or Python libraries (Matplotlib, Seaborn, etc.

SEI

Data and Analytics Consultant

Atlanta, GA

Data Visualization The ideal candidate's experience may include but is not limited to the following: * Have experience understanding and solving real business problems * Have experience with ...

4pconsultinginc

Data Analyst II

Forest Park, GA · On-site

This role requires strong technical skills in SQL, Python, Spark, and data visualization as well as an understanding of utility power transmission and substation engineering business processes

Raas Infotek LLC

Data Scientist

Atlanta, GA · On-site

Expertise in data visualization tools such as Tableau or Power BI * Experience with AWS, Azure, or Google Cloud Platform cloud platforms * Strong understanding of data engineering and MLOps concepts

PSRTEK

Data Analyst at Atlanta, GA

Atlanta, GA · On-site

Experience working with data visualization tools such as Power BI or Tableau * Excellent problem solving skills * Strong communication skills and ability to give client demos. This will be a client ...

4P Consulting Inc.

Data Analyst 4P/232

Atlanta, GA

The analyst will focus primarily on data reporting, visualization, and analysis within the Enablon platform using Power BI. The role is based predominantly onsite at Georgia Power's Environmental ...

InstantServe LLC

DCS - Research/Data Analyst Senior

Atlanta, GA · On-site

$82K - $104K/yr

... data visualization dashboards with Tableau MINIMUM QUALIFICATIONS Bachelor's degree in a related ... field from an accredited college or university AND Two years in a related lead or supervisory role ...

Velociti Services

Senior Data Analyst

Atlanta, GA · On-site

$110K/yr

Experience with data visualization best practices and KPI development Requirements: * Ability to pass a pre-employment background check * Ability to pass a pre-employment drug screening Preferred ...

Ubertal Inc

Research Data Analyst Senior

Atlanta, GA · On-site

$111K - $112K/yr

Develop data visualization dashboards using Tableau and manage internal and external data requests * Collaborate with external research partners and provide guidance to junior team members Required ...

Merican

DCS - Research/Data Analyst Senior

Atlanta, GA · On-site

$82K - $104K/yr

Produce data visualization dashboards with Tableau MINIMUM QUALIFICATIONS * Bachelor's degree in a related field from an accredited college or university AND Two years in a related lead or ...

next page

Showing results 1-20

All JobsData Visualization JobsData Visualization Jobs in Georgia

Data Visualization information

See Georgia salary details

$45.6K

$92.4K

$136.4K

How much do data visualization jobs pay per year?

As of Jun 16, 2026, the average yearly pay for data visualization 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 Is Data Visualization?

Data visualization is the process of taking statistical data and preparing it in a visual context that is easier to understand. You use software and graphics to demonstrate patterns, correlations, and trends that appear more significant when viewed outside of a written context. Visual representation comes in the form of infographics, heat maps, geographic maps, and detailed pie or bar charts. Business intelligence recognizes the need for appropriate colors and images and is now standard for modern organizations. Data visualization is also a reporting tool that tracks performance and generates dashboards to observe click-through rates digital marketing campaigns.

Can I learn data analyst in 3 months?

Becoming a data analyst in three months is possible with intensive study of core skills such as data manipulation, visualization, and tools like Excel, SQL, and Tableau. However, mastering the role typically requires ongoing learning and practical experience, especially for complex analysis tasks and industry-specific knowledge.

What is the difference between Data Visualization vs Data Analyst?

AspectData VisualizationData Analyst
Primary FocusCreating visual representations of dataAnalyzing and interpreting data
SkillsData visualization tools, graphic design, storytellingStatistical analysis, Excel, SQL, data interpretation
ToolsTableau, Power BI, D3.jsExcel, SQL, R, Python
Work EnvironmentDesign-focused, often collaborative with data teamsAnalytical, research-oriented, cross-departmental

Data Visualization specialists focus on creating visual representations to communicate data insights effectively, while Data Analysts analyze data to uncover trends and inform decisions. Both roles often collaborate but serve different core functions within data-driven organizations.

What is data visualization?

Data visualization is the process of representing data and information in a graphical or pictorial format, such as charts, graphs, or maps. This practice helps people understand complex data sets more easily by highlighting patterns, trends, and outliers. Data visualization is widely used in various industries to support decision-making, communicate insights, and make data more accessible to a broader audience.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, human expertise remains essential for interpreting results, understanding context, and communicating findings effectively. Data analysts who develop skills in machine learning, programming, and data visualization tools are better positioned to adapt to these technological changes.

Is data visualization a good career?

Data visualization is a valuable career in data analysis and business intelligence, involving creating visual representations of data using tools like Tableau, Power BI, or Python. It requires strong analytical skills, understanding of data, and the ability to communicate insights effectively, often with a background in statistics or computer science. The field offers growth opportunities as organizations increasingly rely on visual data to inform decisions.

What are some common challenges faced by professionals in Data Visualization roles, and how can they be addressed?

Professionals in Data Visualization often encounter challenges such as translating complex datasets into clear, meaningful visuals and ensuring that visualizations are both accurate and accessible to diverse audiences. Balancing aesthetic appeal with functionality can also be demanding, as visuals must communicate insights without causing confusion. To address these challenges, effective collaboration with data analysts, subject matter experts, and end-users is essential, as is staying current with best practices and visualization tools. Regular feedback and iteration help refine visualizations to best meet stakeholders' needs.

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

To thrive as a Data Visualization Specialist, you need strong analytical abilities, a solid foundation in statistics, and proficiency with data visualization principles, typically supported by a degree in data science, computer science, or a related field. Familiarity with visualization tools such as Tableau, Power BI, or D3.js, and experience with data processing languages like Python or R, are commonly required. Creativity, attention to detail, and effective communication skills help convey complex data insights clearly to diverse audiences. These skills ensure that data is transformed into actionable, visually compelling insights that drive informed decision-making within organizations.

What jobs do data visualization?

Data visualization jobs include roles such as data analyst, data scientist, business intelligence analyst, and data visualization specialist. These roles involve creating visual representations of data using tools like Tableau, Power BI, or Python to help organizations interpret complex information and support decision-making.
More about Data Visualization jobs
What are the most commonly searched types of Data Visualization jobs in Georgia? The most popular types of Data Visualization jobs in Georgia are:
What are popular job titles related to Data Visualization jobs in Georgia? For Data Visualization jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Data Visualization jobs in Georgia look for? The top searched job categories for Data Visualization jobs in Georgia are:
What cities in Georgia are hiring for Data Visualization jobs? Cities in Georgia with the most Data Visualization job openings:
Data Visualization jobs near you
Infographic showing various Data Visualization job openings in Georgia as of June 2026, with employment types broken down into 100% Full Time. Highlights an 66% In-person, 11% Hybrid, and 23% Remote job distribution, with an average salary of $92,418 per year, or $44.4 per hour.

Data Scientist 1

4P Consulting Inc.

Atlanta, GA

Full-time

Posted 20 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.