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Natural Science Data Analyst Jobs (NOW HIRING)

Senior Data Analyst

Quantico, VA ยท On-site

$91K - $114K/yr

The ideal candidate will bring deep expertise in data science methodologies, software integration, and scalable analytics architectures. Key Responsibilities * Develop, implement, and maintain ...

Data Analyst

Raleigh, NC ยท On-site

$60K - $80K/yr

Leverage large language models and natural language processing techniques to analyze unstructured ... Bachelor's or Master's degree in Computer Science, Data Science, Finance, or related technical ...

New

Data Analyst

Dallas, TX ยท On-site

$60K - $80K/yr

Leverage large language models and natural language processing techniques to analyze unstructured ... Bachelor's or Master's degree in Computer Science, Data Science, Finance, or related technical ...

New

Data Analyst

Raleigh, NC ยท On-site

$60K - $80K/yr

Leverage large language models and natural language processing techniques to analyze unstructured ... Bachelor's or Master's degree in Computer Science, Data Science, Finance, or related technical ...

New

Data Analyst

Englewood, CO ยท On-site

$60K - $80K/yr

Leverage large language models and natural language processing techniques to analyze unstructured ... Bachelor's or Master's degree in Computer Science, Data Science, Finance, or related technical ...

New

Data Scientist /data analyst entry level /AI /software programmer(Remote) Occupation: Data ... Apply data mining, data modeling, natural language processing, and machine learning to extract and ...

$60K - $80K/yr

Leverage large language models and natural language processing techniques to analyze unstructured ... Bachelor's or Master's degree in Computer Science, Data Science, Finance, or related technical ...

New

Data Analyst

Raleigh, NC ยท On-site

$60K - $80K/yr

Leverage large language models and natural language processing techniques to analyze unstructured ... Bachelor's or Master's degree in Computer Science, Data Science, Finance, or related technical ...

New

Data Analyst

Arlington, VA ยท Hybrid

$83K - $139K/yr

As a Data Analyst, you will join a functional team of accomplished Data Scientists, Software Engineers and Data Engineers that deliver custom analytic solutions to our federal government clients.

Data Analyst

Arlington, VA ยท On-site

$83K - $139K/yr

As a Data Analyst, you will join a functional team of accomplished Data Scientists, Software Engineers and Data Engineers that deliver custom analytic solutions to our federal government clients.

Data Analyst

Arlington, VA ยท On-site

$83K - $139K/yr

As a Data Analyst, you will join a functional team of accomplished Data Scientists, Software Engineers and Data Engineers that deliver custom analytic solutions to our federal government clients.

Data Analyst

Arlington, VA ยท Hybrid

$83K - $139K/yr

As a Data Analyst, you will join a functional team of accomplished Data Scientists, Software Engineers and Data Engineers that deliver custom analytic solutions to our federal government clients.

Senior Data Analyst

Cranbury, NJ ยท On-site

$100K - $120K/yr

The Senior Data Analyst will mentor junior analysts, collaborate with cross-functional teams, and ... natural mentor, eager to share knowledge and elevate the team's capabilities. Why MJH Life Sciences

Showing results 21-40

Natural Science Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do natural science data analyst jobs pay per year?

As of Sep 11, 2026, the average yearly pay for natural science data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does a natural science data analyst do?

A Natural Science Data Analyst collects, processes, and analyzes data related to the natural sciences, such as biology, chemistry, environmental science, or geology. They use statistical and computational methods to interpret complex datasets, identify patterns, and generate insights that support scientific research or policy decisions. Their work often involves using software tools to clean and visualize data, collaborate with scientists, and communicate findings through reports or presentations.

What are the key skills and qualifications needed to thrive as a natural science data analyst?

To thrive as a Natural Science Data Analyst, you need a strong background in statistics, scientific research, and data analysis, usually supported by a degree in a science or quantitative field. Expertise in tools like R, Python, GIS software, and experience with data visualization platforms are typically required. Attention to detail, critical thinking, and effective communication are vital soft skills for interpreting complex data and collaborating with multidisciplinary teams. These skills are essential for accurately analyzing scientific data, drawing meaningful conclusions, and supporting evidence-based decision-making in natural science projects.

How does a natural science data analyst typically collaborate with interdisciplinary teams on research projects?

Natural Science Data Analysts often work closely with scientists, researchers, and subject matter experts from various disciplines to interpret and contextualize complex datasets. Collaboration may involve participating in regular meetings to discuss research goals, providing statistical insights, and ensuring that data collection and analysis align with project objectives. This interdisciplinary teamwork is essential for drawing accurate conclusions and translating findings into actionable recommendations or publications. Effective communication and a willingness to learn from other fields are key to thriving in this collaborative environment.

What is the difference between Natural Science Data Analyst vs Data Scientist?

AspectNatural Science Data AnalystData Scientist
Required CredentialsBachelor's in science, data analysis, or related fieldBachelor's or higher in computer science, statistics, or related field
Work EnvironmentResearch labs, environmental agencies, scientific organizationsTech companies, finance, healthcare, research institutions
Employer & Industry UsagePrimarily in scientific research and environmental sectorsAcross various industries including tech, finance, and healthcare

Natural Science Data Analysts focus on analyzing scientific data within research and environmental contexts, often requiring a background in science and data analysis tools. Data Scientists have a broader scope, applying advanced statistical and machine learning techniques across diverse industries. While both roles involve data analysis, their work environments and industry applications differ significantly.

What are popular job titles related to Natural Science Data Analyst jobs?

For Natural Science Data Analyst jobs, the most frequently searched job titles are:

Infographic showing various Natural Science Data Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Senior Data Analyst

Quantico, VA โ€ข On-site

Data Intelligence LLC
Internet Websites and Web Search Portalsย โ€ขย 11 - 50 employees

$91K - $114K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 21 days ago


Job description

Data Intelligence LLC
Job Openings >> Senior Data Analyst
Senior Data Analyst
Summary
Title: Senior Data Analyst ID: 1592 Location: Quantico, VA
More about this job >
Description

Data Intelligence is seeking a highly skilled Senior Data Analyst to support the Naval Criminal Investigative Services IT at NCIS Headquarters in Quantico, VA. This role focuses on advanced data analytics, statistical modeling, and integration of data-driven solutions to enhance investigative and intelligence capabilities. The ideal candidate will bring deep expertise in data science methodologies, software integration, and scalable analytics architectures.

Key Responsibilities

  • Develop, implement, and maintain advanced data science and analytics solutions
  • Design and execute data analysis workflows using statistical and mathematical modeling techniques
  • Build and manage ETL pipelines for ingesting, transforming, and delivering structured and unstructured data
  • Develop and integrate APIs and data services to support enterprise analytics platforms
  • Perform software integration and testing, including development and execution of test plans and scripts
  • Utilize Python, R, and other scripting languages for data analysis and automation
  • Apply data mining, graph algorithms, and statistical techniques to support mission objectives
  • Work with SQL and NoSQL databases, search indexes, and web application servers
  • Leverage tools such as Jupyter Notebook, Pandas, NumPy, Requests, and related data science libraries
  • Create data visualizations and dashboards using spreadsheets and other tools
  • Collaborate with cross-functional teams to deliver scalable and secure analytics solutions

Required Qualifications

  • Master's degree in Data Science, Computer Science, Engineering, Mathematics, or related field
  • Minimum 10 years of professional experience in data science or advanced analytics
  • Experience with software integration or testing, including analyzing and implementing test plans and scripts
  • Strong experience with scripting languages such as Python and R
  • Experience with data science, data mining, statistics, and graph algorithms
  • Proficiency with SQL, NoSQL, API development, ETL pipelines, web application servers, and search indexing technologies
  • Experience using tools and frameworks such as:
    • Python, Jupyter Notebook, Pandas, NumPy, Requests
  • Strong foundation in complex mathematical and statistical concepts
  • Experience applying statistical analysis and operations research methodologies
  • Proficiency in data manipulation and visualization using spreadsheets and related tools

Certifications (Preferred)
One or more relevant industry certifications, such as:

  • CompTIA Cloud Essentials, CompTIA A+, CompTIA Security+
  • Microsoft Technical Associate (MTA), MCPD, MCSD, MCSE
  • Certificate of Cloud Security Knowledge (CCSK)
  • EMC Data Science Associate (EMCDSA)
  • Cloudera Certified Data Scientist (CCDH) / Certified Cloud Professional (CCP)
  • Certified Apache Hadoop Developer (HCAHD) / Cloudera Certified Administrator for Apache Hadoop (CCAH)
  • Certified Information Systems Security Professional (CISSP)

About Data Intelligence, LLC:

Data Intelligence, LLC (DI) is a small business that provides Information Technology System Development (Agile, DevSecOps, Cloud Platform support) Cybersecurity (RMF, Security Engineering, Cross Domain Solutions), Tactical Data Link Standards Development and Testing, and Logistics/Warehousing services to U.S. federal clients both CONUS and OCONUS. DI consistently demonstrates exceptional customer service, maintains an employee-centric culture, and delivers hands-on technical expertise to help our clients achieve their mission.

Since 2005, DI has successfully provided IT Systems Engineering, Software Development, Cybersecurity, and supporting solutions and services to customers that include the Department of Defense, Intelligence, and Federal Civilian clients. Current clients include the US Navy, Air Force, Army, Marine Corps, Coast Guard, National Geospatial-Intelligence Agency, Defense Logistics Agency, and The Department of Homeland Security. DI is headquartered in Marlton, New Jersey, with satellite offices in California, Maryland, Ohio, Pennsylvania, Virginia, and Washington, D.C.

Why you should join us:

Data Intelligence offers competitive salaries, comprehensive benefits, a team-oriented environment, and opportunities for advancement. Our excellent employee retention record reflects our employee focus. We work with Veteran's organization to proactively hire those who have served our country. We offer medical, dental and vision insurance, 401k, PTO and 11 paid holidays.

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