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Remote Data Visualization Jobs (NOW HIRING)

Data Analyst (Remote)

Denver, CO · Remote

$80K - $100K/yr

Salary: $80k100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities ... Data visualization * Data integration * ETL Development Qualifications: * Bachelor's Degree in ...

Data Analyst Location: Remote Duration: 6 Months (Contract) Demonstrated ability to effectively ... visualization solutions, data files/extracts, and deliver insights to clients • Develop ...

100% Remote Full-time Senior Analyst At NuView Analytics we help companies accelerate the time to ... Data visualization * Data integration * ETL Development * Statistical modeling and machine learning ...

Our large client is looking for multiple consultants to join a growing Big Data project. Experience ... Visualization Engineer and Ingestion Engineers. All roles will be remote and can be located ...

REMOTE - Data Scientist

$101K - $175K/yr

Cincinnati OR Remote Travel Required: 2-3 times yearly Job Summary The Data Science team at ... visualization, model deployment, and pipeline orchestration. * Strong working knowledge of machine ...

Data Analyst | Remote

Manhattan, NY · Remote

$70 - $120/hr

Remote Commitment: 10-40 hours/week Role Responsibilities Join Mercor's Business Intelligence ... with data visualization tools such as Tableau or Power BI Knowledge of data modeling and ...

Our large client is looking for multiple consultants to join a growing Big Data project. Experience ... Visualization Engineer and Ingestion Engineers. All roles will be remote and can be located ...

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Remote DATA Visualization information

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$54K

$109.5K

$161.5K

How much do remote data visualization jobs pay per year?

As of Jun 6, 2026, the average yearly pay for remote data visualization in the United States is $109,451.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $123,000.00 per year, depending on experience, location, and employer.

What is remote data visualization?

Remote data visualization refers to the practice of creating interactive charts, graphs, and dashboards to represent data insights, while working outside of a traditional office environment. Professionals in this field use tools like Tableau, Power BI, or D3.js to help organizations make informed decisions by presenting complex data in an understandable visual format. Working remotely allows data visualization specialists to collaborate with teams across different locations using cloud-based platforms and virtual communication tools.

What Are Remote Data Visualization Jobs?

A remote data visualization job allows you to work from home while assisting with the process of data visualization projects for a company. Your responsibilities may include reviewing analytics, creating engaging and interactive tools, portraying data in a visual way, developing presentations, interpreting data, and collaborating with other departments. You handle modeling, create charts and graphic depictions, gather datasets, produce reports, measure performance, and fulfill additional project duties as needed. You can find data visualization positions in various industries. Data visualization specialist, data visualization analyst, data visualization engineer, and data visualization director are some common job titles.

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

To thrive as a Remote Data Visualization Specialist, you need a strong background in data analysis, statistical concepts, and visual storytelling, often supported by a degree in computer science, statistics, or a related field. Expertise in tools such as Tableau, Power BI, or D3.js, as well as proficiency with programming languages like Python or R, is typically required. Excellent communication, creativity, and problem-solving skills help you convey complex data insights clearly and collaborate effectively with remote teams. These competencies are crucial for transforming raw data into actionable insights that drive informed business decisions in a virtual work environment.

How do remote data visualization specialists typically collaborate with cross-functional teams to deliver insights?

Remote data visualization specialists often work closely with data analysts, engineers, and business stakeholders via virtual collaboration tools. Regular video meetings, shared dashboards, and real-time feedback channels help ensure that visualizations align with project goals and stakeholder needs. Clear communication and documentation are essential for managing expectations and iterating on designs. Building strong relationships with distributed teams and being proactive in seeking and providing feedback are key to delivering effective data-driven stories.

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

AspectRemote Data VisualizationRemote Data Analyst
Required CredentialsDegree in Data Science, Computer Science, or related field; proficiency in visualization toolsDegree in Data Analysis, Statistics, or related; strong analytical skills
Work EnvironmentPrimarily focused on creating visual representations of data, often using tools like Tableau, Power BIAnalyzing datasets, generating reports, and providing insights, often using Excel, SQL, and statistical software
Industry UsageUsed across tech, finance, marketing, and consulting firms for presenting data insights visuallyCommon in finance, healthcare, retail, and marketing for data interpretation and decision-making

Remote Data Visualization specialists focus on designing visual data representations to communicate insights effectively, while Remote Data Analysts analyze data sets to generate actionable insights. Both roles require analytical skills, but their core tasks and tools differ, making them distinct yet complementary positions in data-driven organizations.

What cities are hiring for Remote Data Visualization jobs? Cities with the most Remote 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 Remote Data Visualization jobs? States with the most job openings for Remote Data Visualization jobs include:
Infographic showing various Remote Data Visualization job openings in the United States as of May 2026, with employment types broken down into 2% Internship, 77% Full Time, 2% Part Time, and 19% Contract. Highlights an 100% Remote job distribution, with an average salary of $109,451 per year, or $52.6 per hour.
Data Analyst (Remote)

Data Analyst (Remote)

NuView Analytics

Denver, CO • Remote

$80K - $100K/yr

Full-time

Posted 22 days ago


Job description

At NuView Analytics we help companies accelerate the time to insights from their data. We do this in three ways data analytics, data diligence, and fractional data science. Our clients are growth stage companies looking to drive additional value from the data they are sitting on. Through our values of humility, intellectual rigor, and stewardship we help companies gain a new perspective on their business through their data.

Salary: $80k100K + bonus + benefits
Location: 100% remote for US-based candidates

Responsibilities:

  • Candidate will complete data analytics and data science projects for clients
  • Candidate will work on client projects from start to finish scoping, onboarding, delivering
  • Candidate will train and develop new skills in both engagement process and data analytics skill sets when needed

Projects Include:

  • Ad-hoc data analysis
  • Deep data investigation
  • Data visualization
  • Data integration
  • ETL Development

Qualifications:

  • Bachelor's Degree in Analytics, Economics, Mathematics, Computer Science or a related Field
  • 1-3 Years of Relevant job experience
  • SQL Required
  • R or Python experience a plus
  • Tableau, PowerBI, or Looker Proficiency including advanced calculations or advanced DAX
  • Looking for a self-starter that can work well autonomously and together with a team to figure out solutions for clients
  • Ability to process data objectively and efficiently
  • Intellectually curious about new data tools and data analytics/science strategies
  • Familiarity across modern data stack including ETL (Stitch, Rivery, Fivetran, etc), Data warehouse (Big Query, Redshift, Snowflake, etc.) and Data Visualization (Tableau, Looker, Power BI, etc.)