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Virtual Entry Level Data Visualization Jobs (NOW HIRING)

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Data Scientist

Tampa, FL · On-site

$35 - $42/hr

We are looking for a motivated Entry-Level Data Scientist to join our team. You will analyze data ... visualization tools (Tableau, Power BI) Basic understanding of cloud platforms (AWS, Azure, GCP)

Data Scientist - NYC

Boston, MA · On-site

$100 - $200/hr

... data visualization tools * Create valuable insights from datasets directly with stakeholders ... entry-level data science concepts) * Experience writing code in Python * Experience handling ...

Altair Data Resources is seeking an entry-level Data Analyst who is looking for an opportunity to ... Using our analytics and visualization tools, you will gain experience working with industry-leading ...

Data Analyst 1

Schenectady, NY

$66.95K - $85.14K/yr

OR six years of experience* in data visualization, and statistical models and data mining tools ... entry-level title (Data Analyst Trainee 1) may be advanced to the full-performance level (Data ...

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Virtual Entry Level Data Visualization information

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How much do virtual entry level data visualization jobs pay per hour?

As of May 30, 2026, the average hourly pay for virtual entry level data visualization in the United States is $24.40, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $27.40 per hour, depending on experience, location, and employer.

What is the difference between Virtual Entry Level Data Visualization vs Virtual Entry Level Data Analysis?

AspectVirtual Entry Level Data VisualizationVirtual Entry Level Data Analysis
Required SkillsData visualization tools (Tableau, Power BI), basic statistics, graphic designData cleaning, statistical analysis, Excel, SQL
Work EnvironmentRemote, project-based, collaborative with designers and analystsRemote, research-focused, collaboration with analysts and stakeholders
Common EmployersTech companies, marketing agencies, consulting firmsFinancial institutions, market research firms, tech companies

Virtual Entry Level Data Visualization focuses on creating visual representations of data to communicate insights effectively, while Virtual Entry Level Data Analysis involves examining data sets to identify trends and support decision-making. Both roles often require familiarity with data tools and work in remote environments, but their core responsibilities differ in focus and skill set.

More about Virtual Entry Level Data Visualization jobs
What job categories do people searching Virtual Entry Level Data Visualization jobs look for? The top searched job categories for Virtual Entry Level Data Visualization jobs are:
Infographic showing various Virtual Entry Level Data Visualization job openings in the United States as of May 2026, with employment types broken down into 95% Full Time, 4% Part Time, and 1% Contract. Highlights an 90% Physical, and 10% Remote job distribution, with an average salary of $50,749 per year, or $24.4 per hour.

Data Scientist

Tech Consulting

Tampa, FL • On-site

$35 - $42/hr

Full-time

Medical, Dental, Vision, PTO

Posted 23 days ago

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Job description

We are looking for a motivated Entry-Level Data Scientist to join our team. You will analyze data, build predictive models, and generate insights to support business decisions.

Entry-Level Data Scientist – Job Description

Role Overview

Full-time

Training and deployment.

Traing will take in our HQ, which is in Atlanta, GA

Key Responsibilities

Collect, clean, and preprocess structured and unstructured data

Perform exploratory data analysis (EDA) to identify trends and patterns

Build and evaluate machine learning models

Develop data visualizations and dashboards

Work with cross-functional teams (product, engineering, business)

Communicate insights through reports and presentations

Optimize models for performance and scalability

Required Skills & Qualifications

Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field

Strong knowledge of Python (Pandas, NumPy, Matplotlib, Seaborn)

Understanding of statistics and probability

Familiarity with machine learning algorithms

Basic knowledge of SQL

Problem-solving and analytical thinking

Preferred Qualifications (Nice to Have)

Internship or project experience in data science

Experience with libraries like Scikit-learn, TensorFlow, or PyTorch

Knowledge of data visualization tools (Tableau, Power BI)

Basic understanding of cloud platforms (AWS, Azure, GCP)