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

Workiva

Spring 2027 Intern - Data Analytics

Savannah, GA · On-site +1

$22/hr

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 ...

Kundlas Consulting Group LLC

Hydrologist

Savannah, GA · Remote

Familiarity with advanced hydrologic modeling software, remote sensing technologies, and watershed ... Collect, analyze, and interpret hydrologic, meteorological, groundwater, and surface water data for ...

micro1 AI

Commercial Counsel - Remote

Savannah, GA · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

micro1 AI

Corporate Counsel - Remote

Savannah, GA · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

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All JobsData Analyst JobsRemote Data Analyst JobsRemote Data Analyst Jobs in Savannah, GA

Remote Data Analyst information

See Savannah, GA salary details

$31.7K

$77K

$126.6K

How much do remote data analyst jobs pay per year?

As of Sep 1, 2026, the average yearly pay for remote data analyst in Savannah, GA is $76,953.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $90,300.00 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.
More about Remote Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Savannah, GA?

The most popular types of Data Analyst jobs in Savannah, GA are:

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For Remote Data Analyst jobs in Savannah, GA, the most frequently searched job titles are:

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The top searched job categories for Remote Data Analyst jobs in Savannah, GA are:

What cities near Savannah, GA are hiring for Remote Data Analyst jobs?

Cities near Savannah, GA with the most Remote Data Analyst job openings:

Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in Savannah, GA as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% Remote job distribution, with an average salary of $76,967 per year, or $37 per hour.

Junior Data Scientist/Analyst/Engineer - Remote

SC Works Trident

Savannah, GA • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Junior Data Scientist/Analyst/Engineer - Remote Job #: 24-01088 Source: SynergisticIT Posted: 8/27/2024 Web Site: www.synergisticit.com Work at home all of the time Job Type: Full Time (30 Hours or More) Responsibilities Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings; may create dynamic data reports.

Qualifications

Entry-level; looking for individuals who can contribute to data science projects. Proficiency in programming languages such as Python or Java; familiarity with machine learning libraries is a plus. Strong analytical and communication skills. All positions are open for all visa categories and U.S. citizens.

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