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Remote Undergraduate Data Analyst Jobs (NOW HIRING)

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 ...

Data Analyst (Remote)

Denver, CO · Remote

$80K - $100K/yr

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 ...

... for remote work to be determined by the program manager and customer. Essential Functions ... and an undergraduate degree but believe that practical technical experience is an acceptable ...

Data Analyst

Denver, CO · Remote

$80K - $100K/yr

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

100% Remote Full-time Senior Analyst 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 Analyst Work Location: Remote (preference for candidates located in the National Capital Region - DMV) Clearance Required: TS or CBP BI or DHS Suitability (clearance adjudicated within the past ...

Data Analyst Work Location: Remote (preference for candidates located in the National Capital Region - DMV) Clearance Required: TS or CBP BI or DHS Suitability (clearance adjudicated within the past ...

Data Analyst Location: Remote Top Skills: * Python * Tableu * SQL Strong * AWS Job Requirement: * * Need to have experience with Data sets to do: * Gain customer insights (segmentation and ...

Data Analyst

Houston, TX · Remote

$40 - $45/hr

Houston, TX or US Remote Duration: 6-12 months Skills: Data Analytics & Insights : ignio AIOps Experience Required: 6-8 Years Role Description: Data Analyst Strong experience in data analysis ...

Senior Data Analyst (Remote)

Yonkers, NY · Remote

$89K - $112K/yr

The data analysts make up a critical component of our client implementation team, as Solovis ... Undergraduate Degree (Finance, Business, Info-Systems/Technology Preferred) * 1-3 Years  Equal ...

In this role, the Data Analyst (Remote) will be responsible for ensuring the business makes better decisions through collection and usage of data. Responsibilities: The Data Analyst (Remote) will:

The Nations 2nd largest Technical Staffing and Services Firm, has an opening for a Remote Analyst ... Project will involve complex excel formulas and ability to synthesize large data sets into ...

Data Analyst - Long Term Contract - Remote (US-based) We're seeking a Data Analyst to support the People Development Operations team by automating reporting, streamlining data processes, and creating ...

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Remote Undergraduate Data Analyst information

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$34K

$82.6K

$136K

How much do remote undergraduate data analyst jobs pay per year?

As of Jul 29, 2026, the average yearly pay for remote undergraduate data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

Can you work fully remote as a data analyst?

Remote data analyst positions are common and often allow for full-time remote work, especially with skills in data visualization, SQL, and statistical tools. Employers may require familiarity with collaboration tools like Slack or Zoom and sometimes specify location flexibility or time zone considerations.

Is it possible to get a remote job as a data analyst?

Yes, remote data analyst positions are widely available across various industries. These roles typically require skills in data analysis tools like Excel, SQL, or Python, and often involve working with cloud-based platforms or collaboration tools. Many companies now offer remote work options for data analysts, especially for those with relevant experience and certifications.

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

AspectRemote Undergraduate Data AnalystRemote Data Analyst
Required CredentialsUndergraduate degree or current student, basic data skillsDegree often preferred, more advanced data skills
Work EnvironmentRemote, often part-time or internshipRemote, full-time or contract roles
Employer & Industry UsageInternships, entry-level roles in various industriesEntry to mid-level roles across industries
Search & Comparison IntentEntry-level, internship, beginner rolesProfessional, full-time roles

The main difference is that a Remote Undergraduate Data Analyst is typically a student or recent graduate with basic skills seeking entry-level or internship roles, while a Remote Data Analyst usually has more experience and is hired for full-time professional positions. Both roles are remote and industry-wide, but the level of experience and responsibilities differ.

How can I make 2000 a week working from home?

A remote undergraduate data analyst can potentially earn $2,000 weekly by taking on multiple freelance or contract projects, leveraging skills in data analysis tools like Excel, SQL, or Python. Building a strong portfolio, gaining relevant certifications, and consistently applying for high-paying opportunities can help achieve this income level, especially with a flexible schedule and in-demand skills.

How can I make $100,000 a year working from home?

A remote undergraduate data analyst can increase earning potential by gaining advanced skills in data analysis tools like Python or R, obtaining relevant certifications, and building a strong portfolio. Earning $100,000 annually typically requires gaining experience, specializing in high-demand areas, and possibly working for multiple clients or companies to diversify income streams.
More about Remote Undergraduate Data Analyst jobs
What cities are hiring for Remote Undergraduate Data Analyst jobs? Cities with the most Remote Undergraduate Data Analyst job openings:
What are the most commonly searched types of Undergraduate Data Analyst jobs? The most popular types of Undergraduate Data Analyst jobs are:
What states have the most Remote Undergraduate Data Analyst jobs? States with the most job openings for Remote Undergraduate Data Analyst jobs include:
Infographic showing various Remote Undergraduate Data Analyst job openings in the United States as of July 2026, with employment types broken down into 65% Full Time, 4% Part Time, and 31% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Remote Data Analyst

Landpoint

Fremont, CA • Remote

Full-time

Re-posted 12 hours 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.