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Remote Data Analyst Jobs in North Augusta, SC (NOW HIRING)

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

... data, and produce intelligence products. * Conduct Foundational Military Intelligence analysis and ... Doctoral Degree in Remote Sensing, Cartography, Geography, or related field AND 5 years CURRENT ...

... data, and produce intelligence products. * Conduct Foundational Military Intelligence analysis and ... Doctoral Degree in Remote Sensing, Cartography, Geography, or related field AND 5 years CURRENT ...

College degree must be in a relevant field such as remote sensing, Geospatial sciences, Relevant ... Experience with data analytics and COTS statistical software (SPSS, SAS, MatLab etc.) Experience ...

Mid : BS/BA in Remote Sensing, Cartography, Geography, or related field AND 8 years of intelligence ... Experience with assessments, enterprise data integration, governance, metadata management, and data ...

Mid : BS/BA in Remote Sensing, Cartography, Geography, or related field AND 8 years of intelligence ... Experience with assessments, enterprise data integration, governance, metadata management, and data ...

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Remote Data Analyst information

See North Augusta, SC salary details

$32K

$77.7K

$127.8K

How much do remote data analyst jobs pay per year?

As of Sep 1, 2026, the average yearly pay for remote data analyst in North Augusta, SC is $77,670.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,700.00 and $91,200.00 per year, depending on experience, location, and employer.

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 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 are the key skills and qualifications needed to thrive as a remote data analyst?

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.

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 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.

Are remote data analyst jobs still in demand?

Remote data analyst jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in data visualization, SQL, and statistical analysis are particularly valuable, and many companies continue to expand their remote analytics teams to access a broader talent pool.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or other locations, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and a reliable internet connection. Availability of remote work varies by organization and role requirements.

What are the most commonly searched types of Data Analyst jobs in North Augusta, SC?

The most popular types of Data Analyst jobs in North Augusta, SC are:

What are popular job titles related to Remote Data Analyst jobs in North Augusta, SC?

For Remote Data Analyst jobs in North Augusta, SC, the most frequently searched job titles are:

What job categories do people searching Remote Data Analyst jobs in North Augusta, SC look for?

The top searched job categories for Remote Data Analyst jobs in North Augusta, SC are:

What cities near North Augusta, SC are hiring for Remote Data Analyst jobs?

Cities near North Augusta, SC with the most Remote Data Analyst job openings:

Infographic showing various Remote Data Analyst job openings in North Augusta, SC as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 4% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $77,670 per year, or $37.3 per hour.

IMINT Analyst - Expert

Fort Eisenhower, GA • Remote

Global Dimensions, LLC
Guided Missile and Space Vehicle Manufacturing • 1 - 10 employees

Full-time

Posted 5 days ago


Job description

We are seeking an experienced IMINT Analyst - Expert to support advanced Geospatial Intelligence (GEOINT) operations at Fort Gordon, Georgia. This position requires expert-level knowledge of imagery intelligence, space-based GEOINT capabilities, satellite collection processes, GEOINT software, and advanced intelligence analysis.

Essential Job Functions:

The ideal candidate will bring extensive current GEOINT analysis experience and the ability to collaborate across the Intelligence Community (IC) and Department of Defense (DoD) to develop effective analytical and collection strategies.

Required Skills:

Due to the sensitivity of customer-related requirements, U.S. Citizenship is required.

Current and Active TS/SCI clearance with SSBI.

Degree must be in a relevant discipline such as Remote Sensing, Geospatial Sciences, a relevant STEM field, Political Science, or a related field.

Candidates must meet one of the following education and experience combinations:

  • Doctoral Degree in Remote Sensing, Cartography, Geography, or a related field and 5 years of current GEOINT analysis experience; OR MA/MS in Remote Sensing, Cartography, Geography, or a related field and 10 years of current GEOINT analysis experience; OR BA/BS in Remote Sensing, Cartography, Geography, or a related field and at least 15 years of intelligence analysis experience, including 8 years of current GEOINT analysis experience.

Specialized experience applying space-based GEOINT capabilities in support of intelligence missions.

Expert knowledge of the full spectrum of U.S. Government and commercial satellite capabilities, including collection, tasking processes, and protocols.

Expert-level proficiency with GEOINT software such as RemoteView, SOCET GXP, and ArcGIS.

Experience applying photogrammetric principles and techniques.

Experience conducting Foundational Military Intelligence (FMI) analysis and baseline reporting.

Ability to collaborate with GEOINT analysts to deconstruct complex intelligence problems and develop effective analytical and collection approaches.

Ability to collaborate with partners across the IC and DoD on technical and substantive intelligence topics.

Knowledge of applicable GEOINT-related Army, National System for Geospatial Intelligence (NSG), and Intelligence Community policies.

Expert ability to communicate intelligence findings through multimedia presentations and written intelligence products.

Experience with Object-Based Production (OBP), Structured Observation Management (SOM), and Activity-Based Intelligence (ABI).

Experience developing and applying analytic models.

Desired Skills:

GPC-II Imagery Certification.

Experience with commercial visualization software.

Experience utilizing non-traditional GEOINT data sources.

Proficiency with the Microsoft Office suite.

Experience with data analytics and commercial off-the-shelf statistical software such as SPSS, SAS, MATLAB, or comparable tools.

Experience presenting intelligence findings at Intelligence Community forums, conferences, or symposiums.