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Junior Data Visualization Jobs in Atlanta, GA (NOW HIRING)

Pwc

Finance Data and AI Manager

Atlanta, GA · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... mentoring junior staff. You are accountable for project success, maintaining standards, and ... deployment of data visualization solutions to improve financial reporting - Monitoring and ...

Pwc

Deals Diligence Analytics Manager

Atlanta, GA · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... mentoring junior staff. You are accountable for project success, maintaining standards, and ... and Tableau to enhance data visualization and reporting - Developing predictive models and ...

Programmers.io

lead or architect

Atlanta, GA · On-site

$61 - $79.50/hr

Mentor junior members of the team on best practices in cloud data architecture. Essential Skills ... Power BI Familiarity with Power BI for data visualization and reporting is a strong plus but not ...

Bricklayer AI

Full Stack Engineer

Atlanta, GA · On-site

... junior engineers and promote engineering excellence • Implement security best practices in ... data visualization libraries for React • Contributions to open-source UI projects • Knowledge ...

RaceTrac

Analytics Consultant

Atlanta, GA · On-site

... g., SQL, Python, R). • Utilize data visualization tools to create clear and impactful ... junior analysts, fostering their development and growth. • Contribute to a collaborative and ...

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All JobsData Visualization JobsJunior Data Visualization JobsJunior Data Visualization Jobs in Atlanta, GA

Junior Data Visualization information

See Atlanta, GA salary details

$33.2K

$76.3K

$122.6K

How much do junior data visualization jobs pay per year?

As of Aug 13, 2026, the average yearly pay for junior data visualization in Atlanta, GA is $76,309.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,800.00 and $78,400.00 per year, depending on experience, location, and employer.

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

AspectJunior Data VisualizationData Analyst
Required SkillsBasic data visualization tools, introductory analyticsData manipulation, statistical analysis, visualization
Experience LevelEntry-level, beginnerEntry to mid-level, some experience
Work EnvironmentDesign-focused, visualization toolsBroader data analysis, reporting
Common ToolsTableau, Power BI, ExcelSQL, Excel, Tableau, R/Python

Junior Data Visualization roles focus on creating visual representations of data using basic tools, often under supervision. Data Analysts perform broader data analysis, including statistical work and reporting, with more advanced skills and experience. While both roles involve data visualization, Data Analysts typically handle more complex analysis tasks and data management.

What is a junior data visualization?

Junior Data Visualization professionals are entry-level specialists who assist in transforming raw data into graphical representations like charts, graphs, and dashboards. They typically work with tools such as Tableau, Power BI, or Excel to help organizations interpret data and make informed decisions. Their responsibilities often include preparing datasets, creating basic visualizations, and supporting more senior team members on larger projects. These roles require foundational knowledge of data analysis, visualization best practices, and sometimes basic programming skills.

What types of projects can a junior data visualization specialist expect to work on, and how do they typically collaborate with other teams?

As a Junior Data Visualization specialist, you can expect to work on projects that involve transforming raw data into clear, interactive visuals such as charts, dashboards, and infographics. These projects often support business teams in making data-driven decisions. You'll frequently collaborate with data analysts, engineers, and business stakeholders to understand data requirements and ensure your visualizations effectively communicate key insights. It's common to participate in team meetings, gather feedback, and make iterative improvements to your work. Over time, you'll gain exposure to different data tools and business domains, which can open up opportunities for advancement.

What are the key skills and qualifications needed to thrive as a junior data visualization specialist?

To thrive as a Junior Data Visualization specialist, you need a solid understanding of data analysis, basic statistics, and visual storytelling, typically supported by a degree in a quantitative field. Familiarity with tools such as Tableau, Power BI, or Python libraries like Matplotlib and Seaborn is often required, alongside knowledge of Excel and SQL. Strong attention to detail, creativity, and effective communication skills help you convey complex data insights clearly to diverse audiences. These abilities are crucial for transforming raw data into actionable insights that drive informed business decisions.

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 Junior Data Visualization jobs in Atlanta, GA?

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

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

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

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

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

Junior Data Visualization jobs near you

Sr. Data Scientist - Network Strategy

Home Depot

Atlanta, GA • On-site

Full-time

Posted 7 days ago

Home Depot rating

7.4

Company rating: 7.4 out of 10

Based on 6,426 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

With a career at The Home Depot, you can be yourself and also be part of something bigger.
Position Purpose:
The Sr. Data Scientist is responsible for leading data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role assists in the development of the Home Depot advanced analytics infrastructure that informs decision making. Sr. Data Scientists are expected to seek out business opportunities to leverage data science as a competitive advantage. Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
As a Sr. Data Scientist, you will serve as a lead on data science projects, collaborating with project/product managers, providing prioritization of tasks, balancing workload and mentoring data scientists on the project team. This role is expected to present insights and recommendations to leaders and business partners and explain the benefits and impacts of the recommended solutions. This role supports the building of skilled and talented data science teams by providing input to staffing needs and participating in the recruiting and hiring process. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.
Key Responsibilities:
  • 35% Solution Development - Proficiently design and develop algorithms and models to use against large datasets to create business insights; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation
  • 30% Project Management & Team Support - Work with project teams and business partners to determine project goals; Provide direction on prioritization of work and ensure quality of work; Provide mentoring and coaching to more junior roles to support their technical competencies; Collaborate with managers and team in the distribution of workload and resources; Support recruiting and hiring efforts for the team
  • 20% Business Collaboration - Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide general education on advanced analytics to technical and non-technical business partners; Deep understanding of IT needs for the team to be successful in tackling business problems; Actively seek out new business opportunities to leverage data science as a competitive advantage
  • 15% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Define best practices and develop clear vision for data analysis and model productionalization; Contribute to library of reusable algorithms for future use, ensuring developed codes are documented

Direct Manager/Direct Reports:
  • This position reports to manager or above
  • This position has 0 Direct Reports

Travel Requirements:
  • Typically requires overnight travel less than 10% of the time.

Physical Requirements:
  • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Working Conditions:
  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:
  • Must be eighteen years of age or older.
  • Must be legally permitted to work in the United States.

Preferred Qualifications:
  • PhD in a quantitative field (Computer Science, Math, Statistics, etc.)
  • 6+ years of experience in business intelligence and analytics
  • Working knowledge of Microsoft Excel and Power Point
  • Proficient in a modern scripting language (preferably Python)
  • Proficient running queries against data (preferably with Google BigQuery or SQL)
  • Proficient with data visualization software (preferably Tableau)
  • Mastery utilizing statistical techniques to identify key insights that help solve business problems
  • Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
  • Demonstrated proficiency in predictive modeling, data mining and data analysis

Minimum Education:
  • The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Preferred Education:
  • No additional education

Minimum Years of Work Experience:
  • 5

Preferred Years of Work Experience:
  • No additional years of experience

Minimum Leadership Experience:
  • None

Preferred Leadership Experience:
  • None

Certifications:
  • None

Competencies:
  • Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs
  • Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
  • Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
  • Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
  • Cultivates Innovation: Creating new and better ways for the organization to be successful
  • Customer Focus: Building strong customer relationships and delivering customer-centric solutions
  • Develops Talent: Developing people to meet both their career goals and the organization's goals
  • Directs Work: Provides direction, delegating and removing obstacles to get work done
  • Drives Results: Consistently achieving results, even under tough circumstances
  • Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder
  • Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement
  • Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels

What Home Depot employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Home Depot

Sourced by ZipRecruiter

The Home Depot is the world’s largest home improvement specialty retailer, operating a vast network of warehouse-format stores across the United States, Canada, and Mexico. Founded in 1978, the company has established itself as the primary resource for building materials, lawn and garden products, and home décor. Its business model caters to two distinct customer bases: Do-It-Yourself (DIY) homeowners and "Pro" customers, such as professional contractors and tradespeople. Beyond product sales, the company offers an extensive suite of services, including professional installation and one of the largest tool rental operations in North America.

Industry

Retail and manufacturing

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

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