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Entry Level Climate Data Analyst Jobs in Chicago, IL

Dhalite Inc.

Entry level Data Analyst

Chicago, IL · On-site

Job Summary We are seeking a Data Analyst to collect, process, and analyze data to support business decision-making and operational efficiency. The ideal candidate will have strong analytical skills ...

New

Iatinsurancegroup

Business Data Analyst

Naperville, IL · On-site +1

$55K - $120K/yr

Elicit, analyze, and document business and data requirements from stakeholders across the insurance ... We offer comprehensive benefits like: * 26 PTO Days (Entry Level) + 12 Company Holidays = 38 Paid ...

dbHMS

Entry Level Building Performance Analyst

Chicago, IL · On-site

$60K - $80K/yr

Entry Level Building Performance Analyst Firm Overview Do more than just build! At dbHMS, we are a ... Analyzing building performance data and identifying opportunities for improvement. * Thinking ...

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Entry Level Climate Data Analyst information

See Chicago, IL salary details

$13

$33

$63

How much do entry level climate data analyst jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for entry level climate data analyst in Chicago, IL is $33.92, according to ZipRecruiter salary data. Most workers in this role earn between $21.78 and $37.88 per hour, depending on experience, location, and employer.

What are some typical projects or data sets an entry level climate data analyst might work with during their first year?

As an Entry Level Climate Data Analyst, you'll likely work with a variety of environmental data sources, such as temperature records, precipitation data, greenhouse gas emission inventories, or satellite imagery. Early projects often involve cleaning, organizing, and performing basic statistical analysis on these large data sets to support more senior analysts and research teams. You might also assist with generating reports, creating data visualizations, and ensuring data quality. Collaboration with scientists, engineers, and policy experts is common, giving you exposure to interdisciplinary teamwork and opportunities to learn from experienced colleagues.

What are the key skills and qualifications needed to thrive as an entry level climate data analyst, and why are they important?

To thrive as an Entry Level Climate Data Analyst, you need strong analytical skills, a background in environmental science or statistics, and proficiency in data interpretation, often supported by a relevant bachelor's degree. Familiarity with data analysis tools like Python, R, Excel, and GIS software, as well as experience with climate datasets, is typically required. Attention to detail, problem-solving abilities, and effective communication skills help distinguish candidates in this role. These skills are critical for accurately analyzing climate trends, supporting research, and contributing valuable insights to environmental decision-making.

What does an entry level climate data analyst do?

An Entry Level Climate Data Analyst is responsible for collecting, processing, and analyzing climate-related data, such as temperature, precipitation, and atmospheric conditions. They use statistical tools and software to identify trends and patterns in climate data, often assisting senior analysts or scientists in research projects. Their work helps support climate research, environmental policy development, and sustainability initiatives. Typically, they prepare reports, visualize data, and ensure data quality while gaining experience in the field.

What is the difference between Entry Level Climate Data Analyst vs Entry Level Environmental Data Analyst?

AspectEntry Level Climate Data AnalystEntry Level Environmental Data Analyst
Required CredentialsBachelor's in environmental science, climate science, or related field; basic data analysis skillsBachelor's in environmental science, ecology, or related field; data analysis skills
Work EnvironmentResearch institutions, government agencies, NGOs focused on climate issuesEnvironmental consulting firms, government agencies, NGOs
Industry UsagePrimarily in climate change, atmospheric studies, and policy analysisBroader environmental sectors including conservation, pollution, and resource management

Both roles involve analyzing environmental data, but Climate Data Analysts focus specifically on climate-related datasets and issues, while Environmental Data Analysts work across various environmental topics. The skills and credentials overlap significantly, making them closely related entry-level positions in the environmental field.

What are the most commonly searched types of Climate Data Analyst jobs in Chicago, IL? The most popular types of Climate Data Analyst jobs in Chicago, IL are:
Entry Level Climate Data Analyst jobs near you
Infographic showing various Entry Level Climate Data Analyst job openings in Chicago, IL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $70,552 per year, or $33.9 per hour.

Entry level Data Analyst

Dhalite Inc.

Chicago, IL • On-site

Other

Posted 3 days ago

New

Job description

Note: Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future. Job Summary


We are seeking a Data Analyst to collect, process, and analyze data to support business decision-making and operational efficiency. The ideal candidate will have strong analytical skills and experience working with large datasets, data visualization tools, and statistical techniques to identify trends, build predictive models, and generate actionable insights. This role requires collaboration with cross-functional teams to transform complex data into meaningful business strategies.

Key Responsibilities

  • Build and optimize data pipelines and ETL workflows for efficient data processing and integration.
    Analyze large datasets using Python, SQL, and statistical methods to identify patterns and trends.
    Create interactive dashboards and visual reports using Power BI, Tableau, or similar tools.
    Implement predictive forecasting and analytical models to support strategic decision-making.
    Automate data workflows and reporting processes to improve operational efficiency.
    Ensure data quality, accuracy, and integrity through validation and monitoring frameworks.
    Perform root cause analysis on performance and operational issues using data insights.
    Work with cross-functional teams to gather requirements and translate data into actionable insights.
    Maintain documentation of data processes, models, and reporting systems.
    Develop and maintain data models and analytical solutions to improve business insights and predictive accuracy.

Required Qualification

  • Bachelor s degree in Data Science, Computer Science, Statistics, Information Systems, or a related field.
    Strong knowledge of data analysis, statistical techniques, and data visualizations
    Experience working with databases and large datasets.
    Ability to interpret complex data and present insights clearly to stakeholders.
    Strong problem-solving and analytical thinking skills.

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