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Remote Climate Data Analyst Jobs in Easley, SC (NOW HIRING)

... data for AnMed and affiliated facilities. * Demonstrates technical competence in navigating through the EMR and other software programs, onsite and in remote settings, with minimal assistance.

... data for AnMed and affiliated facilities. * Demonstrates technical competence in navigating through the EMR and other software programs, onsite and in remote settings, with minimal assistance.

Earth Science Tutor

Greenville, SC · Remote

$18 - $40/hr

... to climate. Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping tools to support middle and high school students building scientific literacy.

IB Biology Tutor

Greenville, SC · Remote

$18 - $40/hr

Ability to explain genetic modification, climate change biology, and internal assessment ... Skilled at teaching experimental design, data analysis, and biological systems analysis for IB ...

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Showing results 1-20

Remote Climate Data Analyst information

See Easley, SC salary details

$31.9K

$77.5K

$127.6K

How much do remote climate data analyst jobs pay per year?

As of Aug 25, 2026, the average yearly pay for remote climate data analyst in Easley, SC is $77,546.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,600.00 and $91,000.00 per year, depending on experience, location, and employer.

What is a remote climate data analyst?

A Remote Climate Data Analyst is a professional who analyzes climate-related data from various sources, such as weather stations, satellites, and environmental sensors, while working remotely. They use statistical and computational tools to interpret data trends, assess environmental impacts, and support climate research or policy decisions. This role often involves creating reports, visualizations, and models to communicate findings to scientists, policymakers, or the public. Remote Climate Data Analysts typically collaborate with teams online and may use specialized software for data analysis, modeling, and geographic information systems (GIS).

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

To thrive as a Remote Climate Data Analyst, you need a strong background in environmental science, statistics, and data analysis, often supported by a relevant degree in climatology, meteorology, or data science. Proficiency in data analysis tools such as Python, R, GIS software, and experience with climate databases or remote sensing systems is typically required. Excellent problem-solving, attention to detail, and effective communication skills help you interpret complex data and present findings clearly to stakeholders. These skills ensure accurate analysis and actionable insights that inform climate-related decisions and policies.

How do remote climate data analysts typically collaborate with other team members and stakeholders while working off-site?

Remote Climate Data Analysts often collaborate through digital communication tools, such as video conferencing, shared data platforms, and project management software. They work closely with scientists, engineers, and policy experts to interpret climate data and provide actionable insights. Regular virtual meetings, transparent progress tracking, and clear documentation are essential to ensure alignment and effective teamwork. Additionally, analysts may participate in cross-functional projects, requiring them to adapt communication styles and coordinate with colleagues across different time zones.

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

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

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

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

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

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

Infographic showing various Remote Climate Data Analyst job openings in Easley, SC as of August 2026, with employment types broken down into 60% Full Time, and 40% Temporary. Highlights an 100% Remote job distribution, with an average salary of $77,546 per year, or $37.3 per hour.

Data Analyst - Logistics/Sourcing

Kelly Services

Greenville, SC • Remote

$24 - $26/hr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 6 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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