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Entry Level Climate Data Analyst Jobs in Washington

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Entry Level Climate Data Analyst information

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 Washington? The most popular types of Climate Data Analyst jobs in Washington are:
Infographic showing various Entry Level Climate Data Analyst job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

AI Data Analyst US Citizens only, active TS/SCI clearance required

LTC Solutions

Washington, DC • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description


LTC Solutions, LLC is a small business with a huge commitment to supporting our employees and providing quality services to our government clients. Our employees have an entrepreneurial spirit, a passion for excellence, and a proactive approach to providing the best possible solutions to our clients. If you are committed to building excellent client relationships, providing consistent superior-quality work, and taking initiative to understand your clients' needs, we would like to meet you!

LTC offers a dynamic team setting and generous benefits (including 401K, PTO, and Health, Dental, Vision, Life and Disability Insurance).




Location: Hybrid (Supporting Pentagon, Arlington, VA)

Status: Contingent Hire - Full-Time - Hybrid

Clearance: US Citizens with Active TS/SCI Security Clearance (Required)

MUST HAVE: Demonstrated experience supporting Department of Defense, Department of the Navy, U.S. Marine Corps, or other Federal Government organizations data preparation, scripting, automation, data visualization, and analytics using modern programming languages and business intelligence tools.

Position Summary

The AI Data Analyst provides entry-level analytical and technical support to Headquarters Marine Corps (HQMC), Installations and Logistics (I&L), and the Global Positioning Network (GPN) Program. Working in a hybrid or remote environment under the direction of the Senior AI Data Analyst / Analytics Team Lead, the position prepares data for analysis, develops automation scripts, executes routine analytical models, and produces dashboards and visualization products that support Department of Defense decision-making.

The AI Data Analyst assists in collecting, validating, transforming, and integrating structured and unstructured data from multiple Government systems while supporting enterprise data standards, repeatable analytics workflows, and automated reporting. The position contributes to the development of reusable scripts, dashboards, and data products that improve operational awareness, logistics readiness, and program performance.

Required Qualifications

  • U.S. Citizen with an Active Top Secret/SCI security clearance and ability to obtain a CAC card.
  • Bachelor's degree in Data Science, Computer Science, Information Systems, Mathematics, Statistics, Engineering, Business Analytics, or a related discipline.
  • One (1) to three (3) years of experience supporting data analytics, business intelligence, data engineering, or software development.
  • Experience using Python, SQL, or R for data preparation, scripting, automation, or analysis.
  • Experience using Microsoft Excel and at least one business intelligence platform such as Power BI, Tableau, or equivalent.
  • Experience collecting, cleaning, validating, and transforming structured datasets.
  • Working knowledge of relational databases, SQL queries, and data management principles.
  • Strong analytical, problem-solving, and technical communication skills.
  • Ability to work independently while collaborating effectively with senior analysts and Government personnel.

Preferred Qualifications

  • Experience supporting Department of Defense, Department of the Navy, U.S. Marine Corps, or other Federal Government organizations.
  • Experience developing automated data pipelines or reusable scripts.
  • Familiarity with Git, Azure DevOps, GitHub, or other version-control platforms.
  • Experience with cloud analytics environments such as Microsoft Azure, Microsoft Fabric, AWS, or Databricks.
  • Familiarity with data governance, cybersecurity, and secure handling of Controlled Unclassified Information (CUI).
  • Experience creating interactive dashboards and executive visualization products.
  • Exposure to artificial intelligence, machine learning, or predictive analytics concepts.

Primary Duties

  • Prepare, cleanse, validate, and transform structured and unstructured datasets supporting GPN analytics and Department of Defense decision-support activities.
  • Develop and maintain Python, SQL, and R scripts that automate recurring data preparation, transformation, validation, and reporting tasks.
  • Execute routine analytical models and assist with predictive analytics under the direction of the Senior AI Data Analyst.
  • Develop and maintain dashboards, charts, scorecards, and visualization products using Power BI, Tableau, or similar business intelligence platforms.
  • Support development of reusable data pipelines, scripts, templates, and automated workflows that improve analytical efficiency.
  • Perform data quality checks and assist in maintaining enterprise data standards established by the Analytics Team Lead.
  • Research data anomalies, resolve inconsistencies, and document corrective actions.
  • Support integration of data from multiple Government systems into consolidated analytical datasets.
  • Generate recurring reports, performance metrics, trend analyses, and data extracts supporting Government leadership.
  • Document scripts, queries, data models, and analytical procedures to ensure repeatability and knowledge transfer.
  • Assist with testing, validating, and deploying analytical products before Government delivery.
  • Collaborate with senior analysts, Government stakeholders, and technical personnel to resolve analytical issues and improve data quality.
  • Maintain compliance with Department of Defense cybersecurity, records management, and data governance requirements.
  • Perform additional analytical, scripting, automation, and reporting duties as assigned.

LTC Solutions is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.