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Remote Data Analyst Jobs in Greer, SC (NOW HIRING)

Business Analyst II

Greenville, SC · Remote

$45 - $51/hr

Job Title - Business Analyst II Number of Positions - 1 Job Location - 300 Garlington Road, Greenville, South Carolina, United States of America, 29615-4614 (REMOTE) Rate: $45- $51/hr W2 + Benefits ...

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Showing results 1-20

Remote Data Analyst information

See Greer, SC salary details

$32.7K

$79.5K

$130.8K

How much do remote data analyst jobs pay per year?

As of Aug 28, 2026, the average yearly pay for remote data analyst in Greer, SC is $79,458.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,100.00 and $93,300.00 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.

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

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

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

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

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

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

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

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

Infographic showing various Remote Data Analyst job openings in Greer, SC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $79,458 per year, or $38.2 per hour.

Data Analyst - Logistics/Sourcing

Greenville, SC • Remote

$24 - $26/hr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 9 days ago


Job description

Data Analyst – Logistics/Sourcing

Company: GE Vernova
Location: Remote
Schedule: Monday–Friday | 8:00 AM–5:00 PM EST

Pay: $24-$26/hr

Location Note: This position is fully remote. Candidates located within a reasonable distance of Greenville, SC or Schenectady, NY are preferred for occasional onsite meetings or conferences, but proximity is not required.

Position Overview

GE Vernova is seeking an experienced Data Analyst – Logistics/Sourcing to provide high-level analytical support to the Wind Outbound team. This role will use logistics, sourcing, and financial data to identify trends, control transportation costs, improve operational performance, and support strategic supply chain decisions.

The ideal candidate has strong analytical skills, advanced Excel expertise, and experience turning complex datasets into clear, actionable business insights.

Key Responsibilities
  • Market & Pricing Analysis: Monitor logistics market trends and transportation pricing. Develop forecasts, evaluate market competitiveness, and identify cost-saving opportunities.

  • Reporting & Dashboards: Create and maintain dashboards that track transportation costs, service performance, utilization, and savings. Prepare daily, weekly, monthly, and annual reports.

  • Cost-Benefit Analysis: Develop financial models and perform cost-benefit analyses to support transportation strategies and supply chain optimization initiatives.

  • Data Auditing & Accuracy: Review logistics data for accuracy, identify anomalies or discrepancies, and partner with internal teams to resolve issues.

  • Process Improvement: Identify opportunities to automate manual reporting and data processes to improve efficiency and accuracy.

  • Cross-Functional Collaboration: Work with internal teams to summarize project spend, evaluate logistics strategies, and communicate data-driven recommendations.

  • Budget & Strategic Planning: Provide analytical support for budgeting and assess the financial impact of operational and transportation changes.

Required Qualifications
  • 5+ years of experience in data analysis, supply chain reporting, financial analysis, or logistics analytics.

  • 2+ years of experience in logistics, supply chain, project management, or a related analytical field.

  • Advanced Microsoft Excel skills, including complex formulas, pivot tables, data analysis, and visualization.

  • Experience with data management and reporting tools; Access, SQL, and/or BI tools are preferred.

  • Strong written and verbal communication skills with the ability to present analytical findings to multiple levels of stakeholders.

  • Ability to manage large datasets while maintaining a high level of accuracy and attention to detail.

  • Fluent written and spoken English.

Preferred Qualifications
  • Bachelor’s degree in Finance, Accounting, Business Analytics, Supply Chain Management, or a related field.

  • Experience translating large and complex datasets into concise executive-level reports and recommendations.

  • Strong critical-thinking, analytical, and problem-solving abilities.

  • Ability to manage multiple priorities in a fast-paced environment.

  • Quick learner who can adapt to new reporting systems, software, and analytical tools.

  • Proactive approach to identifying data issues, process improvements, and cost-saving opportunities.

Ideal Candidate

You are a detail-oriented analyst who enjoys transforming data into meaningful business insights. You understand how logistics and transportation decisions impact costs and overall supply chain performance, and you can confidently communicate your findings to both technical and non-technical stakeholders.


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