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Entry Level Climate Data Analyst Jobs in Virginia

SynergisticIT

Junior/Entry Level Coder - Remote

Richmond, VA · On-site

$66K - $86K/yr

Currently, we are looking for entry-level software programmers, Java full-stack developers, Python ... We want data science/machine learning/data analyst and Java stack candidates. For data science ...

Asta CRS Inc.

Be Seen First

junior product analyst

Richmond, VA · On-site

$28 - $30/hr

The Junior Product Analyst plays a key role in supporting the product team by gathering, analyzing, and interpreting data to help drive product decisions. This entry-level position involves ...

New

hochunk

Junior Financial Analyst

Quantico, VA · On-site

... entry-level financial analysis experience in planning, problem solving, and data collection and ... We are committed to providing the best possible climate for maximum development and goal ...

Ho Chunk, Inc.

Junior Financial Analyst

Quantico, VA · On-site

... entry-level financial analysis experience in planning, problem solving, and data collection and ... We are committed to providing the best possible climate for maximum development and goal ...

hochunk

Junior Financial Analyst

Quantico, VA

Requires entry-level financial analysis experience in planning, problem solving, and data ... We are committed to providing the best possible climate for maximum development and goal ...

Insilico Logix

QA Analyst - Entry Level

Reston, VA · On-site

We are actively looking for Entry level QA/BA Analyst position for our clients throughout USA ... Created Test Data specification document for the application covering the associated interfaces ...

Insilico Logix

QA Analyst - Entry Level

Herndon, VA

We are actively looking for Entry level QA/BA Analyst position for our clients throughout USA ... Created Test Data specification document for the application covering the associated interfaces ...

Hadronts

Entry Level Java developer

Richmond, VA

... you. Entry Level Java developer Overview: HADRONTS offers customers a distinctive blend of ... Perform data analysis to support internal and external project needs. Design basic programs for ...

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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 Virginia?

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

Entry Level Climate Data Analyst jobs near you
Infographic showing various Entry Level Climate Data Analyst job openings in Virginia as of August 2026, with employment types broken down into 65% Full Time, 29% Part Time, and 6% Contract. Highlights an 100% In-person job distribution.

Data Engineer Analyst (WDP)

Bespoke Technologies, Inc

Chantilly, VA • On-site

Full-time

Posted 13 days ago

Job description

BT-156 - Data Engineer Analyst (WDP)
Skill Level: Entry/Junior
Location: Chantilly/Herndon
**MUST HAVE AN ACTIVE TS OR TS/SCI CLEARANCE TO APPLY. Those without an active security clearance will not be considered.**
Role Description:
This is an entry-level opportunity to begin your career as a Data Engineer. As a Junior Analyst, you will learn the fundamentals of building and maintaining large-scale data pipelines on a government data platform. You will work alongside senior engineers, assisting with development, monitoring systems, and helping to ensure the quality and reliability of our data. This role is ideal for a motivated individual with a foundational understanding of data concepts and a strong desire to learn and grow.
Responsibilities:
  • Assist senior engineers in the development and maintenance of data pipelines.
  • Support the operations of existing pipelines by monitoring their performance and responding to alerts under supervision.
  • Execute pre-defined scripts and processes for data ingestion and transformation.
  • Help run data quality checks and document the results.
  • Participate in team meetings and Agile/Scrum ceremonies, learning the development lifecycle.
  • Contribute to the creation and upkeep of technical documentation for data processes.

Required Qualifications:
  • 0-2 years of experience or relevant internship experience in a technical or data-related field.
  • A Bachelor's degree in Computer Science, Information Systems, Engineering, or a related discipline.
  • Basic knowledge of SQL and at least one scripting language (Python preferred).
  • A foundational understanding of data concepts (e.g., databases, ETL).
  • Strong problem-solving skills and a proactive willingness to learn new technologies.
  • Experience with cloud data platforms (e.g., Databricks, Snowflake, AWS S3, Azure Data Lake).
  • A foundational understanding of metadata management and data governance concepts.

Preferred Qualifications:
  • Hands-on experience developing integrations for an enterprise data catalog platform (e.g., Collibra, Alation).
  • Experience with workflow orchestration tools (e.g., Airflow, Prefect).
  • Familiarity with Infrastructure-as-Code (e.g., Terraform).
  • Exposure to streaming data technologies (e.g., Kafka).

Apply