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Climate Data Analyst Internship Jobs in Georgia (NOW HIRING)

Revenue Analytics

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

What You Will Bring: * 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.

Guidehouse

Data Engineer

Atlanta, GA · On-site

$53K - $88K/yr

Exposure to data integration, ETL, data warehousing, or analytics concepts. What Would Be Nice To Have: * Internship, academic, research, or project experience involving data engineering, cloud ...

Guidehouse

Data Engineer

Atlanta, GA · On-site

$53K - $88K/yr

Experience with data integration, ETL, data warehousing, or analytics concepts. What Would Be Nice To Have: * Internship, academic, research, or project experience involving data engineering, cloud ...

Carrier

AI & Data Solution Architect

Atlanta, GA · On-site

Through cutting-edge advancements in climate solutions such as temperature control, air quality and ... Lead end-to-end architecture design for complex data, analytics, and AI initiatives, ensuring ...

gannett

Climate change/environment reporter

Savannah, GA

$22.75 - $31/hr

The correlation and causal relationships between climate and severe weather has grown in urgency as ... Places a high priority on data analysis to identify trends that would otherwise go unreported.

gannett

Climate change/environment reporter

Savannah, GA

$22.75 - $31/hr

The correlation and causal relationships between climate and severe weather has grown in urgency as ... Places a high priority on data analysis to identify trends that would otherwise go unreported.

Guidehouse

Public Health Data Engineer

Atlanta, GA

$110K - $132K/yr

Experience with data integration, ETL, data warehousing, or analytics concepts. What Would Be Nice To Have: * Internship, academic, research, or project experience involving data engineering, cloud ...

Guidehouse

Public Health Data Engineer

Atlanta, GA · On-site

$70K - $116K/yr

Exposure to data integration, ETL, data warehousing, or analytics concepts. What Would Be Nice To Have: * Internship, academic, research, or project experience involving data engineering, cloud ...

HB NEXT

Finance & Accounting Analyst

Lawrenceville, GA · On-site

$50K - $60K/yr

... internships included) * Strong quantitative, analytical, and financial modeling skills * Working ... Familiarity with BI/data visualization tools (e.g., Power BI, Tableau) * Experience utilizing AI ...

HB NEXT

Finance & Accounting Analyst

Lawrenceville, GA · On-site

$50K - $60K/yr

... internships included) * Strong quantitative, analytical, and financial modeling skills * Working ... Familiarity with BI/data visualization tools (e.g., Power BI, Tableau) * Experience utilizing AI ...

Yamaha

Strategy Analyst

Kennesaw, GA · On-site

Internship or academic project experience involving business analysis, strategy, consulting, finance, or data analytics * Advanced degree in a quantitative field * Desire to work in a fast-paced ...

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Climate Data Analyst Internship information

What does a climate data analyst intern do?

A Climate Data Analyst Intern assists in collecting, cleaning, and analyzing climate-related data to help understand trends and patterns in weather, temperature, and environmental conditions. They often use statistical and computational tools to process large datasets, create visualizations, and support research or policy development. Interns may also help prepare reports and presentations to communicate findings to scientists, policymakers, or the public. This role is ideal for students interested in environmental science, data analysis, and climate change solutions.

What types of projects and data sets do climate data analyst interns typically work with during their internship?

As a Climate Data Analyst Intern, you will commonly work on projects involving the analysis of large environmental and meteorological data sets, such as temperature records, precipitation trends, and greenhouse gas emissions. Interns often support senior analysts by cleaning, visualizing, and interpreting data to identify climate patterns and trends. You'll likely use programming languages like Python or R and collaborate with scientists, policy experts, and other data professionals. This hands-on experience provides valuable exposure to real-world datasets and helps build technical and analytical skills relevant to a career in climate science.

What are the key skills and qualifications needed to thrive as a climate data analyst intern, and why are they important?

To thrive as a Climate Data Analyst Intern, you need a solid background in environmental science, statistics, and data analysis, typically supported by coursework or a degree in a related field. Familiarity with programming languages like Python or R, experience with GIS software, and knowledge of climate datasets or remote sensing tools are highly beneficial. Strong analytical thinking, attention to detail, and effective communication skills will help you interpret data and present findings clearly. These skills are essential for transforming complex climate data into actionable insights that support research and policy development.

What is the difference between Climate Data Analyst Internship vs Climate Data Analyst?

AspectClimate Data Analyst InternshipClimate Data Analyst
Required CredentialsTypically pursuing or recent graduate in environmental science, data science, or related fieldsBachelor's or master's degree in environmental science, data analysis, or related disciplines
Work EnvironmentInternship setting, often in research institutions, NGOs, or corporate sustainability teamsFull-time professional role in similar environments, including government agencies, consulting firms, or NGOs
Employer & Industry UsageUsed for gaining experience; entry-level positions in climate and environmental sectorsFull-fledged analyst roles, providing ongoing climate data insights and reporting

The main difference is that a Climate Data Analyst Internship is an entry-level, temporary position designed for gaining experience, while a Climate Data Analyst is a full-time professional role with ongoing responsibilities. Internships often require similar educational backgrounds but are more focused on learning and development, whereas analysts are expected to have more experience and deliver continuous data analysis and reporting.

What are popular job titles related to Climate Data Analyst Internship jobs in Georgia?

For Climate Data Analyst Internship jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Climate Data Analyst Internship jobs in Georgia look for?

The top searched job categories for Climate Data Analyst Internship jobs in Georgia are:

What cities in Georgia are hiring for Climate Data Analyst Internship jobs?

Cities in Georgia with the most Climate Data Analyst Internship job openings:

Climate Data Analyst Internship jobs near you
Infographic showing various Climate Data Analyst Internship job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Scientist

Atlanta, GA • On-site, Remote

Revenue Analytics
Software Development • 51 - 200 employees
Learn more about Revenue Analyticsexternal

$95K - $110K/yr

Full-time

Re-posted 2 days ago

Job description

Data Scientist
Revenue Analytics is a SaaS company that helps companies make better revenue decisions in pricing, products, and promotions. Our analytics solutions drive measurable revenue uplift and help customers move faster with more confidence.
Founded in 2005, we combine deep expertise in pricing and revenue management with modern software, machine learning, and AI to power complex commercial decisions. In Hospitality, we are building products that help redefine what modern revenue management looks like - turning advanced analytics into practical product capability for hotel operators navigating pricing, demand, and competitive complexity.
This Data Scientist position represents a unique opportunity to join a growth-stage company that is investing aggressively in the future of hospitality revenue management. We are looking for someone excited by that opportunity and motivated to help build real product capability, not just one-off analysis.
As a Data Scientist, you will help build machine learning and AI systems that power our hospitality analytics platform. You will work on revenue management and pricing problems in a complex, fast-moving domain, partnering closely with product, science, and engineering to turn ambiguous questions into rigorous analytical solutions. Your work will directly influence product direction and help hospitality customers make better, faster, more data-driven decisions.
What You Will Do:
  • Build machine learning and AI solutions that support pricing, forecasting, and revenue management decisions in hospitality.
  • Analyze large, sometimes messy datasets to identify patterns, risks, and opportunities, and turn them into practical recommendations or product capability.
  • Write clean Python and SQL, working with data pipelines and analytical workflows to prepare, validate, and operationalize data.
  • Apply modern AI techniques, including LLMs and AI coding tools such as Claude Code, thoughtfully to accelerate prototyping, learning, and development while maintaining technical quality.
  • Partner closely with product, engineering, and cross-functional stakeholders to translate business problems into analytical solutions and communicate insights clearly.
What You Will Bring:
  • 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.
  • Bachelor's or Master's degree in statistics, mathematics, operations research, computer science, engineering, or another quantitative field.
  • Hands-on coding experience in Python, working knowledge of SQL, and familiarity with modern data analysis and machine learning workflows.
  • Ability to structure ambiguous problems, choose sensible analytical approaches, and explain trade-offs, limitations, and recommendations clearly.
  • Strong curiosity, ownership, and learning agility, with interest in hospitality, travel, pricing, forecasting, or other business problems where analytics can directly influence outcomes.
Preferred Qualifications:
  • Experience with revenue management, pricing, forecasting, segmentation, or related analytical problem spaces.
  • Experience building something reusable or scalable, such as a data pipeline, internal tool, model workflow, or decision-support analysis.
  • Familiarity with cloud platforms, business intelligence tools, or modern AI tooling in technical workflows.

$95,000 - $110,000 a year
Who We Are
A pioneer of Revenue Management, Revenue Analytics is an enterprise SaaS company that partners with hospitality, media, and transportation companies to solve their most complex pricing challenges. By leveraging powerful analytics and deep strategic experience, Revenue Analytics' next-generation software delivers intuitive answers to help companies perfect their pricing, reclaim missed revenue, and take back their time. To learn more about how Revenue Analytics is recreating Revenue Management, visit revenueanalytics.com or follow us on Twitter and LinkedIn.
Visa sponsorship is not available for this role. Revenue Analytics embraces diversity and is an equal opportunity employer. We are committed to building a Team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.

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