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Entry Level Climate Data Analyst Jobs in New York

Gain America

Entry Level Data Analyst

Hicksville, NY · On-site

$70K/yr

Required Skills A high level of mathematical ability Programming languages, such as SQL, Oracle and/or Python The ability to analyze, model and interpret data Problem-solving skills Capable of Deep ...

Tech Consulting

Be Seen First

Junior Data Analyst

Newark, NJ · On-site

$30 - $40/hr

Entry Level Data Engineer Full-Time Candidate must be open to relocate Responsibilities: * Work ... Write and execute SQL queries to extract, transform, and analyze data. * Create and maintain Hive ...

New

BEOVEXIS

Junior Data Analyst (Remote)

New York, NY · Remote

About the job Juni or Data Analyst (Remote) As the Data Analyst for the Security Analytics ... This is an entry level role requiring the individual to have the aptitude to learn and to ...

Tris Pharma Inc

Data & AI Analyst

Monmouth Junction, NJ · Hybrid

We have an immediate opening in our Monmouth Junction, NJ facility for an entry level Analyst, Data Analytics and AI. The Analyst, Data Analytics and Artificial Intelligence (AI) supports and assists ...

New York University

Postdoctoral Associate

New York, NY · On-site

$70K - $75K/yr

D. in a relevant field (climate science, earth science, or environmental science) prior to the starting date of their appointment and should have a strong background in spatial climate data analysis.

Oxman

Computational Ecologist

New York, NY · On-site

$152K - $203K/yr

... and climate-resilient developments. Together with our clients, we are designing biodiverse ... Conduct data analysis to in order to derive key insights necessary to develop ecosystem models and ...

Accenture

Data Protection, A/SA-Evergreen

New York, NY · On-site

$84K - $100K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

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Entry Level Climate Data Analyst information

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 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 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 New York?

The most popular types of Climate Data Analyst jobs in New York are:

What cities in New York are hiring for Entry Level Climate Data Analyst jobs?

Cities in New York with the most Entry Level Climate Data Analyst job openings:

Entry Level Climate Data Analyst jobs near you
Infographic showing various Entry Level Climate Data Analyst job openings in New York as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 11% Part Time, and 8% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Entry Level Data Analyst

Gain America

Hicksville, NY • On-site

$70K/yr

Contractor

Re-posted 28 days ago

Job description

Job description
Required Skills
A high level of mathematical ability Programming languages, such as SQL, Oracle and/or Python The ability to analyze, model and interpret data Problem-solving skills Capable of Deep Work, Problem Solver, Reliable, consistent, Attention to detail
Required Experience
Ability to learn and utlize Exploratory Data Analysis and Data Cleansing Ability to Write SQL Scripts for Data Warehousing Understanding and knowledge of Ad Hoc Business Analysis
Day to day work involves proficiency in using advanced computerized models to extract the data needed
Removing corrupted data and Performing initial analysis to assess the quality of the data
Performing further analysis to determine the meaning of the data
Performing final analysis to provide additional data screening
Preparing reports based on analysis and presenting to management

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