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Remote Data Analyst Jobs in Augusta, GA (NOW HIRING)

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 ...

The role involves remote sensing, geospatial analysis, and targeting to support high‑visibility ... data, and recommendations. * Ensure all documentation adheres to established standards ...

The role involves remote sensing, geospatial analysis, and targeting to support highvisibility ... data, and recommendations. * Ensure all documentation adheres to established standards ...

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

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Remote Data Analyst information

See Augusta, GA salary details

$32K

$77.7K

$127.8K

How much do remote data analyst jobs pay per year?

As of Jul 27, 2026, the average yearly pay for remote data analyst in Augusta, GA is $77,682.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,800.00 and $91,200.00 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 are the most commonly searched types of Data Analyst jobs in Augusta, GA? The most popular types of Data Analyst jobs in Augusta, GA are:
What are popular job titles related to Remote Data Analyst jobs in Augusta, GA? For Remote Data Analyst jobs in Augusta, GA, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst jobs in Augusta, GA look for? The top searched job categories for Remote Data Analyst jobs in Augusta, GA are:
What cities near Augusta, GA are hiring for Remote Data Analyst jobs? Cities near Augusta, GA with the most Remote Data Analyst job openings:
Infographic showing various Remote Data Analyst job openings in Augusta, GA as of July 2026, with employment types broken down into 84% Full Time, 11% Part Time, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $77,682 per year, or $37.3 per hour.
Imagery Analyst -- Mid-Level, Senior, and Expert

Imagery Analyst -- Mid-Level, Senior, and Expert

Altamira Technologies Corp.

Fort Eisenhower, GA • Remote

Full-time

Posted 23 days ago


Job description

Imagery Analyst — Mid-Level, Senior, and Expert 
 
Altamira Technologies has a long and successful history of providing innovative solutions throughout the U.S. National Security community. Headquartered in McLean, Virginia, Altamira serves the defense, intelligence, and homeland security communities worldwide by focusing on creating innovative solutions leveraging common standards in architecture, data, and security. Altamira believes that our people and company culture differentiate us from other companies.
We are seeking Imagery Analysts at the Mid-Level, Senior, and Expert levels to support all-source analytic production. Candidates will interpret imagery, including visible, infrared, radar data, and full motion video, to identify foreign conventional and unconventional military installations, civilian infrastructure relevant to military capabilities, weapon systems, orders of battle, military equipment and defenses, battle damage assessments, communications, and humanitarian efforts.
Required Education and Experience
Mid-Level Imagery Analyst
  • BA/BS degree in Remote Sensing, Cartography, Geography, or a related field and at least 10 years of Intelligence Analysis experience, including 8 years of current GEOINT Analysis experience; or
  • High school diploma/GED with specialized training and at least 15 years of Intelligence Analysis experience, including 10 years of current GEOINT Analysis experience
Senior Imagery Analyst
  • MA/MS degree in Remote Sensing, Cartography, Geography, or a related field and 6 years of current GEOINT Analysis experience; or
  • BA/BS degree in Remote Sensing, Cartography, Geography, or a related field and at least 10 years of Intelligence Analysis experience, including 8 years of current GEOINT Analysis experience; or
  • High school diploma/GED with specialized training and at least 15 years of Intelligence Analysis experience, including 10 years of current GEOINT Analysis experience
Expert Imagery Analyst
  • Doctoral degree in Remote Sensing, Cartography, Geography, or a related field and 5 years of current GEOINT Analysis experience; or
  • MA/MS degree in Remote Sensing, Cartography, Geography, or a related field and 10 years of current GEOINT Analysis experience; or
  • BA/BS degree 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
Required Qualifications
  • Must possess strong written and oral communication, research, and analytic skills
  • Experience researching, developing, and delivering professional briefings, multimedia presentations, and written reports
  • Experience with intelligence collection, fusion, analysis, production, and dissemination
  • Knowledge of Army structure and defense-level intelligence operations
  • Experience with tradecraft, publication, working groups, and coordination across intelligence communities
  • Ability to assimilate large volumes of information and independently produce written reports
  • Experience with assessments, enterprise data integration, governance, metrics, metadata management, data modeling, and design
  • Current/active TS/SCI clearance
For Expert-level candidates, additional qualifications include:
  • Relevant specialized experience in space-based GEOINT
  • Expert knowledge of U.S. Government and commercial satellite capabilities, including tasking and collection processes
  • Expert knowledge of GEOINT software such as RemoteView, SOCET GXP, or ArcGIS
  • Experience with photogrammetric principles and techniques
  • Experience conducting Foundational Military Intelligence analysis and baseline reporting
  • Experience with object-based production, structured observation management, activity-based intelligence, and analytic modeling
  • Ability to collaborate with GEOINT analysts, Intelligence Community partners, and DoD stakeholders
Desired Qualifications
  • GEOINT Professional Certification, such as GPC-F, GPC-II, GPC-IA-II, GPC-GA-II, or GPC-IS-II
  • Specialized training from an intelligence collection and analysis school
  • Knowledge and understanding of the National System for GEOINT
  • Experience with intelligence operations and drafting expert assessments
  • Experience with commercial visualization software
  • Experience with non-traditional GEOINT data sources
  • Experience with Microsoft Office tools
  • Experience with data analytics and COTS statistical software, such as SPSS, SAS, or MATLAB
  • Experience presenting at community forums or symposiums