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Data Visualization Jobs in Atlanta, GA (NOW HIRING)

4P Consulting Inc.

DATA SCIENTIST

Forest Park, GA · On-site

Data Visualization: Create compelling data visualizations to communicate findings effectively to both technical and non-technical stakeholders using tools like Tableau, Power BI, or Python libraries.

Spruce Infotech

Data Analyst/Eng

Alpharetta, GA · On-site

Proficiency in SQL, data analysis, and data visualization tools . * Strong analytical, problem-solving, and communication skills. Preferred Qualifications: * Experience working in financial services ...

4pconsultinginc

Data Analytics Analyst 3

Atlanta, GA · On-site

This role requires strong technical expertise in data analysis, visualization, and statistical modeling, along with the ability to translate data into clear, impactful insights for stakeholders. Key ...

4P Consulting Inc.

Data Scientist 1

Atlanta, GA · On-site

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 · On-site

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

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 ...

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 ...

Unum UK

Data Scientist II - CX Analytics

Atlanta, GA · On-site +1

Data Visualization: Expertise on at least one visualization tool with working knowledge of others and expertise in static data visualization. Understanding of dynamic data visualization. * Statistics ...

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Showing results 21-40

All JobsData Visualization JobsData Visualization Jobs in Atlanta, GA

Data Visualization information

See Atlanta, GA salary details

$51.9K

$105.3K

$155.3K

How much do data visualization jobs pay per year?

As of Sep 9, 2026, the average yearly pay for data visualization in Atlanta, GA is $105,254.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,500.00 and $118,300.00 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.

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.

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 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 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.

Does data visualization pay well?

Data visualization professionals typically earn competitive salaries, especially with skills in tools like Tableau, Power BI, or D3.js. Salaries vary based on experience, location, and industry, but the role is generally well-compensated compared to other entry-level tech positions.

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, knowledge of data tools, and the ability to communicate insights effectively, making it a growing field with demand across many industries.

What jobs use data visualization?

Data visualization is used in a variety of roles such as data analyst, business intelligence analyst, data scientist, and dashboard developer. These jobs require skills in tools like Tableau, Power BI, or Excel to interpret and communicate data insights effectively.

What skills are needed for data visualization jobs?

Data visualization jobs require skills in data analysis, proficiency with visualization tools like Tableau, Power BI, or D3.js, and a strong understanding of design principles to create clear, effective visuals. Knowledge of programming languages such as Python or R and the ability to interpret complex data sets are also important. Additionally, good communication skills help in presenting insights effectively to stakeholders.
More about Data Visualization jobs

What are the most commonly searched types of Data Visualization jobs in Atlanta, GA?

The most popular types of Data Visualization jobs in Atlanta, GA are:

What are popular job titles related to Data Visualization jobs in Atlanta, GA?

For Data Visualization jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Data Visualization jobs in Atlanta, GA look for?

The top searched job categories for Data Visualization jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Data Visualization jobs?

Cities near Atlanta, GA with the most Data Visualization job openings:

Data Visualization jobs near you
Infographic showing various Data Visualization job openings in Atlanta, GA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $105,254 per year, or $50.6 per hour.

DATA SCIENTIST

Forest Park, GA • On-site

4P Consulting Inc.
Industrial Automation Equipment Manufacturing • 1 - 10 employees
Learn more about 4P Consulting Inc.external

Contractor

Re-posted 18 days ago

Job description

HI,

Hope you're doing well

This is pankaj from 4P Consulting Please see below job description

Please share your resume if you're interested and have 5-10 years of experience submission on W2 basis only NO C2C

 

  • A Data Scientist with 5 to 10 years of
    experience is responsible for leveraging
    data to uncover insights, create predictive
    models, and drive data-driven decision-
    making within an organization.
  • This role
    involves advanced analytics, machine
    learning, and strong problem-solving skills
    to extract actionable information from
    large datasets. Key Responsibilities: Data
    Analysis: Collect, clean, and analyze
    complex datasets to identify trends,
    patterns, and actionable insights.
  • Use
    statistical techniques to uncover
    meaningful information from data.
    Predictive Modeling: Develop and deploy
    machine learning models to predict future
    trends, behaviors, and outcomes. Apply
    regression analysis, clustering,
    classification, and other modeling
    techniques.
  • Data Visualization: Create
    compelling data visualizations to
    communicate findings effectively to both
    technical and non-technical stakeholders
    using tools like Tableau, Power BI, or
    Python libraries. Hypothesis Testing:
    Formulate and test hypotheses, providing
    statistical validation for business
    decisions and recommendations.
  • Feature
    Engineering: Engineer and select relevant
    features for machine learning models,
  • enhancing their predictive power.
    Algorithm Development: Build and fine-
    tune machine learning algorithms, such
    as decision trees, random forests, neural
    networks, and more, depending on the
    specific problem.
  • Data Integration:
    Collaborate with IT and database
    administrators to integrate and access
    data from various sources and data
    warehouses. Model Deployment: Deploy
    machine learning models in production
    environments to support real-time
    decision-making. A/B Testing: Design and
    analyze A/B tests to measure the impact
    of changes and improvements. Data
    Ethics:
  • Ensure ethical data practices,
    including privacy and compliance with
    data protection regulations. Cross-
    functional Collaboration: Collaborate with
    cross-functional teams, including
    engineers, business analysts, and domain
    experts, to understand business
    requirements and align data science
    initiatives with organizational goals.
    Mentorship:
  • Provide guidance and
    mentorship to junior data scientists and
    analysts, fostering their professional
    growth. Continuous Learning: Stay
    updated on the latest data science tools,
    techniques, and trends through ongoing
    professional development. Qualifications:
    Bachelors degree in a quantitative field
    (e.g., Computer Science, Statistics,
    Mathematics, Engineering); a Masters or
    Ph.D. is a plus.
  • 5 to 10 years of experience
    in data science, including machine
    learning and statistical analysis.
    Proficiency in data analysis tools and
    programming languages such as Python,
    R, or Julia. Strong knowledge of machine
    learning algorithms and their applications.
    Experience with data visualization toolslike Tableau, Power BI, or data
    visualization libraries in Python (e.g.,
    Matplotlib, Seaborn). Solid understanding
    of databases and data manipulation using
    SQL. Excellent problem-solving and
    critical thinking skills. Strong
    communication skills to convey complex
    findings and insights to both technical and
    non-technical stakeholders. Familiarity
    with big data technologies and distributed
    computing frameworks is a plus (e.g.,
    Hadoop, Spark). Knowledge of data
    ethics, privacy, and compliance
    considerations.
  • A Data Scientist with 5 to
    10 years of experience is a critical asset to
    an organization, capable of transforming
    data into actionable insights, building
    predictive models, and driving data-driven
    decision-making. This role requires a
    strong foundation in data science
    techniques, programming, and advanced
    analytics, as well as the ability to
    collaborate with various teams and
    mentor junior staff.

Thanks and Regards

Sr. Talent Acquisition Specialist

Pankaj Mishra

Pankaj.Mishra@4pconsultinginc.com

+1 205-756-4834