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Remote Data Analyst Jobs (NOW HIRING)

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

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 ...

As a Remote Data Entry Clerk, you will play a key role in ensuring accurate and timely data entry ... Generate reports and assist in data analysis for tracking and forecasting purposes * Assist in the ...

As a Remote Data Entry Clerk, you will play a key role in ensuring accurate and timely data entry ... Generate reports and assist in data analysis for tracking and forecasting purposes * Assist in the ...

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:

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 ...

Remote Data Entry Clerk

Deptford, NJ · Remote

$16.75 - $22.25/hr

Generate reports and assist with routine data analysis as requested. * Communicate with internal ... Ability to work independently in a remote environment and meet deadlines. * Reliable high-speed ...

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 ...

Senior Data Analyst (Remote)

$88K - $111K/yr

Senior Data Analyst (Remote) Duration: 12 Months Location: Remote Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered Work Arrangement * Remote ...

Data Analyst Location: Remote Duration: 6 Months (Contract) Demonstrated ability to effectively gather requirements, probe for deeper understanding, and translate deep technical concepts to non ...

Data Analyst Location : TX/FL/Remote * Minimum 5 yrs experience in Data Analysis work in SQL and NOSQL database Proficiency in Python is plus * Work with the Data Engineering Team to build data ...

Senior Data Analyst

Denver, CO · Remote

$90K - $120K/yr

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

Chicago, IL · On-site +1

$80K/yr

Data & Automation | Remote / Hybrid | Full-Time - $80,000 base + 5-8% performance bonus The Role This Data Analyst is the hands-on executor of data mapping, extraction, validation, and quality ...

Data Analyst

$80K - $100K/yr

General information Press space or enter keys to toggle section visibility Job Title Data Analyst Functional Area Teammate - Information Technology City Remote Work Location Type Remote State Remote ...

Data Analyst

Denver, CO · On-site +1

$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 ...

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Remote DATA Analyst information

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$34K

$82.6K

$136K

How much do remote data analyst jobs pay per year?

As of Jul 24, 2026, the average yearly pay for remote 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.

Is there a high demand for data analysts?

The demand for data analysts remains strong across various industries due to the increasing reliance on data-driven decision making. Organizations seek professionals skilled in data visualization, statistical analysis, and tools like Excel, SQL, and Python, leading to steady job growth in this field.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

Can I do a data analyst job remotely?

Yes, many data analyst positions are available for remote work, especially those that involve analyzing data, creating reports, and using tools like Excel, SQL, and data visualization software. Remote data analysts typically need strong communication skills and proficiency with relevant software to collaborate effectively with teams online.

Is 40 too late for data science?

For a remote data analyst role, age is generally not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age. Continuous learning and building a strong portfolio can help late entrants compete effectively in the field.

How do Remote Data Analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What does a Remote Data Analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

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

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Will AI replace data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding context, and communicating findings, which currently require human judgment. Data analysts will likely evolve to work alongside AI, focusing more on complex analysis, strategy, and decision-making that AI cannot fully replicate.

What Does a Remote Data Analyst Do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

What cities are hiring for Remote Data Analyst jobs? Cities with the most Remote Data Analyst job openings:
What are the most commonly searched types of Data Analyst jobs? The most popular types of Data Analyst jobs are:
Who are the top companies hiring for Remote Data Analyst jobs? The top employers for Remote Data Analyst jobs are:
What states have the most Remote Data Analyst jobs? States with the most job openings for Remote Data Analyst jobs include:
Infographic showing various Remote Data Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst (Remote)

Full-time

PTO

Posted 19 days ago


Job description

Job Title: 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 4 years)
Position Overview:
We are looking for an experienced Data Analyst to join our team supporting U.S. Customs and Border Protection. As a Data Analyst, you will support robust and repeatable data manipulation, large scale infrastructure for data ingestion, and stunning data visualization for custom client applications.
Role Responsibilities:
  • Responsible for data mining, data preparation, and reporting.
  • Prepare and conduct analyses and studies, needs/gaps assessments.
  • Applies knowledge to determine the accuracy and reasonableness of the data, recommendations, and solutions proposed.
  • Documents and summarizes the results and develops and recommended solutions to the customer's problems.
  • Prepares big data, implements data models developed by others, and provides database support for customer solutions.
  • Key member of a data science project team, supporting data scientists or other consultants in the performance of assigned tasks.

Requirements:
  • Four (4) years relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related other quantitative or mathematical discipline. At least two (2) years of experience applied data science research or big data analytics.
  • Bachelor's Degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related scientific or technical discipline A Master's degree may be substituted for up to two (2) years of relevant experience. A PhD may be substituted for experience.
  • Knowledge of data mining methods, databases, data visualization and machine learning.
  • Experience with analytic techniques such as Anomaly detection, Clustering, and Time-series (e.g., ARIMA)
  • Experience implementing NLP concepts including preprocessing (stemming, etc.), TF-IDF, Named Entity Recognition, and LLMs.
  • Ability to communicate analysis techniques, concepts, and products.
  • Ability to develop data-driven analysis and reports based on data visualizations and data models.
  • Strong SQL skills, and ability to identify issues with data.
  • Experience with Qlik.
  • Experience with Tableau.
  • Experience with PowerBI tools.
  • Familiarity with Databricks or similar cloud-based distributed database technologies
  • Understanding of database and database design
  • Demonstrated experience with cleaning, management, optimizing performance and processing large volumes of data.
  • Demonstrated experience within an AWS environment (AWS certifications preferred)
  • Familiarity with industry best-practices for software-hardware optimization when processing large sets of data.
  • Ability to travel to and work on site at clients as needed.
  • Excellent communication skills both verbal and written.

Preferred Experience and Skills:
  • Expertise with Qlik.
  • Experience with machine learning, with statistical modeling, time-series forecasting and/or geospatial analytics.
  • Experience with Hadoop, Spark or other parallel storage/computing processes.

Why apply to this position at Elder Research?
  1. Competitive Salary and Benefits
  2. Important Work / Make a Difference: supporting Customs and Border Protection in their efforts to protect the United States.
  3. Job Stability: Elder Research is not a typical government contractor, we hire you for a career not just a contract.
  4. Remote Work: in an industry of declining remote work opportunities.
  5. People-Focused Culture: we prioritize work-life-balance and provide a positive, supportive work environment as well as opportunities for professional growth and advancement.
  6. Company Stock Ownership: all employees are provided with shares of the company each year based on company value and profits.

About Elder Research, Inc
People Centered. Data Driven
Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately.
Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work.
Elder Research believes in continuous learning and community - each week the entire company attends a "Tech Talk" and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives.
Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Elder Research is a Government contractor and many of our positions require US Citizenship.