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Junior Data Visualization Jobs (NOW HIRING)

Data Visualization: Create compelling data visualizations to communicate findings effectively to ... Provide guidance and mentorship to junior data scientists and analysts, fostering their ...

Monitor model performance and retrain as needed Data Visualization & Communication * Develop ... Mentor junior data scientists and analysts * Contribute to best practices and data science ...

Mentor junior data scientists and actively participate in the hiring and interview process ... Experience working with data visualization tools and communicating analytical findings clearly to ...

Mentor junior data scientists and actively participate in the hiring and interview process ... Experience working with data visualization tools and communicating analytical findings clearly to ...

Mentor junior data scientists and actively participate in the hiring and interview process ... Experience working with data visualization tools and communicating analytical findings clearly to ...

Artificial Intelligence Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Mentor and support junior data scientists and analysts. * Ensure best practices in code ... Handson experience with data visualization tools eg Tableau Plotly Dash. * Ability to translate ...

Apply Early

Senior Data Scientist

San Ramon, CA · On-site

$100 - $105/hr

Data Visualization & Executive Presentations * Cloud Technologies (AWS/Azure) * Utility Industry ... Mentor junior data scientists and support best practices in data science. Required Qualifications:

Junior Data Scientist

Springfield, VA · On-site

$62K - $141K/yr

R0242774 Data Scientist, Junior The Opportunity: As a data scientist, you're excited at the ... Experience with visualization packages, including Plotly, Seaborn, or ggplot2 * TS/SCI clearance ...

Data Scientist 4

Annapolis Junction, MD · On-site

$174K - $189K/yr

... skills to more junior Data Scientists. You will need to be proficient with API interaction ... Data visualization capabilities with Plotly, Shapely, or GeoPandas, AMOD tool proficiency and an ...

... skills to more junior Data Scientists. You will need to be proficient with API interaction ... Data visualization capabilities with Plotly, Shapely, or GeoPandas, AMOD tool proficiency and an ...

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Junior Data Visualization information

See salary details

$34.5K

$79.4K

$127.5K

How much do junior data visualization jobs pay per year?

As of Jul 2, 2026, the average yearly pay for junior data visualization in the United States is $79,352.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $81,500.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

For a Junior Data Visualization role, age is not a barrier; many professionals transition into data roles later in life. Success depends on skills, relevant training, and experience with tools like Tableau or Power BI, rather than age alone.

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 are Junior Data Visualization professionals?

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.

Will AI replace data analyst?

AI tools can automate routine data analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. Junior Data Visualization roles often involve working with AI and data tools, but human expertise remains critical for nuanced insights and effective communication of findings.

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

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.

Can I be a data analyst with no experience?

While some entry-level data analyst positions may accept candidates with little or no experience, having skills in data visualization tools like Tableau or Power BI, along with basic knowledge of Excel and SQL, can improve your chances. Gaining relevant certifications or completing projects can also help demonstrate your abilities to employers.

Is data visualization a good career?

Data visualization is a growing field within data analysis and business intelligence, with roles like Junior Data Visualization specialists in high demand. It requires skills in tools such as Tableau, Power BI, or Python, and often benefits from a background in data analysis or design. The career offers opportunities for advancement and specialization, making it a viable option for those interested in working with data and visual communication.
More about Junior Data Visualization jobs
What cities are hiring for Junior Data Visualization jobs? Cities with the most Junior Data Visualization job openings:
What are the most commonly searched types of Data Visualization jobs? The most popular types of Data Visualization jobs are:
What states have the most Junior Data Visualization jobs? States with the most job openings for Junior Data Visualization jobs include:
Infographic showing various Junior Data Visualization job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 88% Full Time, and 11% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $79,352 per year, or $38.1 per hour.
DATA SCIENTIST

DATA SCIENTIST

4P Consulting Inc.

Forest Park, GA

Contractor

Posted 8 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