2

From Home Remote Data Visualization Jobs (NOW HIRING)

... from various sources. Data visualization tools: Mastery of visualization tools such as Tableau and ... Remote data analysts must be able to clearly and concisely communicate their findings and ...

We are looking for a spatial thinker with a passion for remote sensing analysis and visual ... This is a full-time, hybrid role which will require you to work from our San Francisco office 3 ...

Be Seen First

Remote Position Summary The Data Visualization Specialist supports the Client's National Customer ... related field from an accredited institution. * 3+ years of post-baccalaureate professional ...

Senior Data Visualization Engineer

San Francisco, CA · On-site +1

$134K - $162K/yr

We're looking for a spatial thinker with a passion for remote sensing analysis and visual ... This is a full-time, hybrid role which will require you to work from our San Francisco office 3 ...

Data Visualization Engineer (Qlik)

Ashburn, VA · On-site +1

$117K - $140K/yr

Data Visualization Engineer Job #1098 Clearance: U.S. Citizenship is required. Active Public Trust ... Flexible work schedules and telework options, including remote work availability for eligible ...

We come from varying backgrounds, different cultures, and unique experiences. We are hard-working ... It's why we offer flexible work arrangements that include remote and hybrid opportunities and paid ...

Data Visualization Engineer (Qlik)

Ashburn, VA · On-site +1

$117K - $140K/yr

Data Visualization Engineer Job #1098 Clearance: U.S. Citizenship is required. Active Public Trust ... Flexible work schedules and telework options, including remote work availability for eligible ...

next page

Showing results 1-20

From Home Remote Data Visualization information

See salary details

$54K

$109.5K

$161.5K

How much do from home remote data visualization jobs pay per year?

As of Sep 5, 2026, the average yearly pay for from home 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 the difference between From Home Remote Data Visualization vs From Home Remote Data Analyst?

AspectFrom Home Remote Data VisualizationFrom Home Remote Data Analyst
Required SkillsData visualization tools (Tableau, Power BI), data storytellingData analysis, statistical skills, Excel, SQL
Work EnvironmentRemote, project-based, collaborativeRemote, analytical, reporting-focused
Industry UsageMarketing, business intelligence, UX designFinance, healthcare, research

While both roles often work remotely and require data skills, Data Visualization specialists focus on creating visual representations of data to communicate insights, whereas Data Analysts perform broader data analysis, including statistical evaluation and reporting. The roles overlap in skills like data tools but differ in primary focus and output.

Is data visualization in high demand?

Data visualization roles, including remote data visualization jobs, are in high demand as organizations seek to interpret complex data effectively. Skills in tools like Tableau, Power BI, or Python are often required, and the ability to communicate insights visually is highly valued across industries.
More about From Home Remote Data Visualization jobs

What cities are hiring for From Home Remote Data Visualization jobs?

Cities with the most From Home Remote Data Visualization job openings:

What are the most commonly searched types of Remote Data Visualization jobs?

The most popular types of Remote Data Visualization jobs are:

What states have the most From Home Remote Data Visualization jobs?

States with the most job openings for From Home Remote Data Visualization jobs include:

Infographic showing various From Home Remote Data Visualization job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution, with an average salary of $109,451 per year, or $52.6 per hour.

Remote Data Analyst

Landpoint

Fremont, CA • Remote

Full-time

Re-posted 8 days ago


Job description

What is data analyst ?

A data analyst is a professional who collects, cleans, and analyzes data to answer questions or solve problems. They work in many industries, including business, finance, science, medicine, and government

To excel as a remote data analyst, professionals must possess a combination of technical skills, soft skills, and industry-specific expertise. These essential skills enable analysts to effectively work with data, collaborate with remote teams, and provide valuable insights that drive business growth.

Skills;

Analytical and problem-solving skills

Knowledge of statistics and mathematics

Experience with spreadsheets

Experience with statistical languages

Experience with scripting languages

Knowledge of database management systems

Data visualization skills

Data Analyst Job Description: Key Responsibilities

Remote data analysts play a crucial role in driving business growth and decision-making by transforming raw data into actionable insights. Their key responsibilities include:

Collecting and interpreting data from various sources: Data analysts are responsible for gathering data from multiple sources, such as databases, APIs, and spreadsheets. They then interpret this data, identifying patterns and trends that can provide valuable insights for the business.

Analyzing data to identify trends and patterns: Once the data has been collected and interpreted, data analysts use various statistical methods and tools to analyze it. By identifying trends and patterns, they can provide insights that help businesses make data-driven decisions.

Creating reports and visualizations to present findings: Data analysts use data visualization tools like Tableau and Power BI to create clear and engaging reports that effectively communicate their findings to stakeholders. These visualizations help businesses understand complex data and make informed decisions.

Collaborating with cross-functional teams to support business objectives: Data analysts work closely with various teams within the organization, such as marketing, sales, and product development. By collaborating with these teams, they can provide data-driven insights that help support the company's overall business objectives.

Ensuring data accuracy and compliance with relevant regulations: Data analysts must ensure that the data they collect and analyze is accurate and reliable. They must also comply with any relevant regulations, such as data privacy laws, to protect the organization from potential legal issues.

Technical Skills

Data manipulation and analysis tools: Proficiency in tools like Excel, SQL, Python, and R is crucial for data analysts to efficiently collect, clean, and analyze data from various sources.

Data visualization tools: Mastery of visualization tools such as Tableau and Power BI helps analysts create impactful visual representations of their findings, making it easier for stakeholders to understand complex data.

Knowledge of statistical methods and machine learning algorithms: A deep understanding of statistical methods and machine learning algorithms allows data analysts to identify trends and patterns, providing valuable insights for decision-making.

Soft Skills

Effective communication and collaboration: Remote data analysts must be able to clearly and concisely communicate their findings and collaborate with cross-functional teams to support business objectives.

Attention to detail and problem-solving abilities: A keen eye for detail and strong problem-solving skills are essential for identifying data anomalies and ensuring data accuracy.

Time management and organization: Remote work requires excellent time management and organizational skills to stay on track and meet deadlines.

Adaptability and self-learning capabilities: As technology and industry trends evolve, remote data analysts must be adaptable and committed to continuous learning to stay ahead of the curve.