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Data Visualization Jobs in Atlanta, GA (NOW HIRING)

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Data Analyst

Atlanta, GA · On-site

$65K - $85K/yr

The Data Analyst works closely with the Data Engineer/Data Project Lead, Data Visualization Specialist, and program staff to ensure analyses are methodologically sound, aligned with user needs, and ...

Utilize techniques such as regression analysis, classification, and clustering. 3. Data Visualization: * Create compelling visualizations using tools like Tableau , Power BI , and Python libraries (e ...

SQL, python, r, excel, tableau, power bi,was, spss, data visualization, data mining, machine learning, data warehousing, data modeling, data architecture, data management, statistics, business ...

Experience handling terabyte size datasets, diving into data to discover hidden patterns and using data visualization tools. Experience writing code in Python, R, Scala, and distributed computing ...

... visualization tools (Tableau). • Experience with SQL, Python, or other data query languages is a plus. • Knowledge of sales tax regulations and exemptions is preferred but not required. • ...

Strong proficiency in Microsoft Excel and experience with SQL and data visualization or business intelligence tools. * Experience working with financial and operational data with an understanding of ...

New

Experience with data visualization tools such as Tableau, Power BI, or Matplotlib. * Knowledge of cloud platforms such as AWS, Azure, or GCP. * Experience with big data technologies such as Spark ...

Support Tableau dashboards and other data visualization initiatives as needed. Nice to Have: * Experience with Tableau or other data visualization software. * Experience in criminal justice or other ...

Experience in data analysis, problem solving, data visualization. *Proficient in Microsoft suite, including Power BI *Programming languages to be used for data wrangling, data manipulation, data ...

... visualization tools (e.g., Tableau) a plus ● Optional: Familiarity with a data science language (Python or R), especially for data prep and automation ● Passion for games, especially sports ...

Contribute to data visualization efforts to communicate findings. * Participate in preparing responses to client inquiries regarding data, score calculations, or analytic outputs. * Document work ...

Data Analyst

Norcross, GA · On-site

$75K/yr

Proficiency in Excel (VLOOKUP, Pivot Tables, Macros) and data visualization tools (Tableau). * Experience with SQL, Python, or other data query languages is a plus. * Knowledge of sales tax ...

Data Scientist I (DSAP)

Alpharetta, GA · On-site

$59K - $98K/yr

Contribute to data visualization efforts to communicate findings. * Participate in preparing responses to client inquiries regarding data, score calculations, or analytic outputs. * Document work ...

Data Scientist I (DSAP)

Alpharetta, GA · On-site

$59K - $98K/yr

Contribute to data visualization efforts to communicate findings. * Participate in preparing responses to client inquiries regarding data, score calculations, or analytic outputs. * Document work ...

Data Scientist

Atlanta, GA · On-site

$150 - $200/hr

Experience with visualization packages, includingPlotly, Seaborn, or ggplot2 * Experience working with health data, including health surveillance, wastewater surveillance, andbiosurveillance Vetting:

Data Scientist

Atlanta, GA · On-site +1

$99K - $225K/yr

Experience with visualization packages, including Plotly, Seaborn, or ggplot2 * Experience working with health data, including health surveillance, wastewater surveillance, and biosurveillance ...

Showing results 41-60

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.

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:

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 Analyst

Atlanta, GA • On-site

$65K - $85K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago

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Job description

Position: Data Analyst

Location: Onsite, Atlanta, GA
Position Summary

The Data Analyst supports the Client’s Customer Service Improvement Project (CSIP) by collecting, analyzing, and reporting data that informs grants management, program oversight, monitoring, and decision-making for the Client. This role conducts both quantitative and qualitative analyses, develops repeatable and sustainable analytical products, and supports leadership and program staff through timely, accurate, and well-documented data outputs.

The Data Analyst works closely with the Data Engineer/Data Project Lead, Data Visualization Specialist, and program staff to ensure analyses are methodologically sound, aligned with user needs, and compliant with federal data standards.


Primary Responsibilities

  • Collect, compile, clean, and analyze data from multiple sources to support Head Start grants management, monitoring, and oversight activities.
  • Conduct quantitative analyses using structured datasets and qualitative analyses of narrative documents, forms, applications, and reports.
  • Identify trends, patterns, anomalies, and areas of risk or improvement related to program performance and operations.
  • Prepare high-quality analytical reports, summaries, and data tables to support Regional Office, Central Office, and leadership needs.
  • Support recurring and ad hoc reporting, including management information reports, trend analyses, and leadership briefings.
  • Track, prioritize, and respond to data requests in coordination with project leadership and Client staff.
  • Assist with rapid-turn analyses and short-notice leadership requests.
  • Support implementation of repeatable, sustainable data practices for ongoing and recurring analyses.
  • Work collaboratively with data engineering, visualization, and program teams to align analyses with operational needs.
  • Support data-informed evaluation of workflows and business processes and contribute to improvement recommendations.


Required Qualifications


  • Bachelor’s degree in statistics, mathematics, economics, data science, or a related field.
  • 3+ years of post-baccalaureate professional experience performing data analysis or related work.
  • 1+ years of experience analyzing quantitative data & synthesizing findings into clear written products.
  • 1+ years of experience with Excel, Python, R, and preferably Smartsheet,
  • 1+ years of experience with SQL, GIS, Data Visualizations, Survey Methodology or Implementation
  • 1+ years of experience with application of AI Tools: GitHub, R, Qualtrics, Tableau or Power BI, ArcGIS
  • 1+ years of experience supporting federal programs or grants management environments; early childhood or Head Start/Early Head Start is preferred.
  • US government-issued security clearance required (will be initiated upon hire)
  • Valid driver’s license and ability to pass an MVR check.


Preferred Qualifications

  • Demonstrated ability to work with multiple data sources and manage competing priorities.
  • Strong analytical and critical thinking skills.
  • Experience using analytical tools such as Excel and scripting or statistical languages (e.g., Python, R).
  • Ability to communicate analytical findings clearly to both technical and non-technical audiences.
  • Strong organizational skills and attention to detail.
  • Ability to work independently and collaboratively in a team-based environment.
  • Experience supporting federal programs or grants management environments.
  • Familiarity with qualitative data analysis and review of narrative program documentation.
  • Experience working with data layers, dashboards, or visualization tools (e.g., Tableau, Power BI).
  • Knowledge of early childhood or Head Start programs.



Company Description

Our mission is to empower our clients to achieve sustainable success through efficient, cost-effective, and scalable solutions that drive significant performance improvements. We believe in delivering value-driven results and fostering a culture that attracts and retains top talent to provide scalable, adaptable services.