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Government Data Analyst Internship Jobs in Remote, OR

SOSi

Data Scientist

OR · On-site +1

... and government services industry. We deliver tailored solutions, tested leadership, and trusted ... The contractor shall develop and refine predictive models, conduct exploratory data analysis, and ...

SOSi

Data Scientist

OR · Remote

... and government services industry. We deliver tailored solutions, tested leadership, and trusted ... The contractor shall develop and refine predictive models, conduct exploratory data analysis, and ...

SOSi

Data Scientist

OR · On-site

... and government services industry. We deliver tailored solutions, tested leadership, and trusted ... The contractor shall develop and refine predictive models, conduct exploratory data analysis, and ...

SOSi

Senior Data Scientist

OR · Remote

... and government services industry. We deliver tailored solutions, tested leadership, and trusted ... The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics ...

SOSi

Senior Data Scientist

OR · On-site

... and government services industry. We deliver tailored solutions, tested leadership, and trusted ... The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics ...

SOSi

Senior Data Scientist

OR · On-site +1

... and government services industry. We deliver tailored solutions, tested leadership, and trusted ... The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics ...

Techlink Systems

Be Seen First

Contracts Administrator - IV

OR · Remote

$75 - $85/hr

Familiarity with GTN modeling and government pricing analytics. * Strong data literacy; comfortable validating data sets, logic flows, and assumptions. * Experience working in highly regulated ...

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Government Data Analyst Internship information

See Remote, OR salary details

$12

$22

$42

How much do government data analyst internship jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for government data analyst internship in Remote, OR is $22.48, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.47 per hour, depending on experience, location, and employer.

What does a government data analyst intern do?

A Government Data Analyst Intern assists with collecting, organizing, and analyzing data to help government agencies make informed decisions. They often work with large datasets, use statistical tools, and create reports or visualizations to communicate findings. Interns may also help improve data quality, support research projects, and contribute to public policy analysis. This role provides valuable experience in public sector data management and analytics.

What are the key skills and qualifications needed to thrive as a government data analyst intern?

To thrive as a Government Data Analyst Intern, you need a solid foundation in statistics, data analysis, and research methods, typically supported by coursework in data science, public policy, or a related field. Familiarity with analytical tools such as Excel, SQL, R, or Python, as well as data visualization platforms like Tableau, is commonly expected. Attention to detail, critical thinking, and strong written and verbal communication skills help interns interpret and present findings effectively. These skills are essential for supporting data-driven decision-making and ensuring accurate, actionable insights in a government environment.

What types of projects can I expect to work on during a government data analyst internship, and how is my work typically supervised?

As a Government Data Analyst Intern, you will likely contribute to projects involving data collection, cleaning, and analysis to support policy development or operational improvements. Typical tasks may include preparing datasets, creating data visualizations, and generating reports for internal stakeholders. Your work is usually supervised by experienced analysts or data managers who provide mentorship, regular check-ins, and feedback to help you develop your technical and analytical skills. Collaboration with cross-functional teams, such as policy makers or IT specialists, is common, giving you exposure to a variety of government operations.

What is the difference between Government Data Analyst Internship vs Government Data Analyst?

AspectGovernment Data Analyst InternshipGovernment Data Analyst
CredentialsTypically pursuing or recent graduate, some may have relevant courseworkBachelor's or master's degree in data analysis, statistics, or related field; often requires experience
Work EnvironmentInternship setting, supervised, learning-focusedFull-time, professional role with independent responsibilities
Employer & IndustryGovernment agencies, entry-level positionGovernment agencies, professional position
Search & Comparison IntentUnderstanding entry-level opportunities, internshipsCareer advancement, full-time roles

The main difference between a Government Data Analyst Internship and a Government Data Analyst is the experience level and responsibilities. Internships are designed for students or recent graduates gaining initial exposure, while full analyst roles require more experience and involve independent decision-making. Internships serve as a stepping stone toward a full analyst position in government agencies.

What are popular job titles related to Government Data Analyst Internship jobs in Remote, OR?

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The top searched job categories for Government Data Analyst Internship jobs in Remote, OR are:

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Government Data Analyst Internship jobs near you

Data Scientist

SOSi

OR • On-site, Remote

Full-time

Re-posted 23 days ago

Job description

Company Description
Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.
Job Description
SOSi is seeking a Data Scientist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.
Essential Job Duties:
  • The contractor shall develop and refine predictive models, conduct exploratory data analysis, and generate AI-driven insights to enhance intelligence and operational planning.
  • The contractor shall integrate customer feedback into model iteration cycles, leveraging Agile development methodologies to maintain responsiveness to mission requirements.
  • The contractor shall submit the Predictive Model Performance Report, documenting key findings, model accuracy metrics, and operational impact assessments.
  • The contractor shall implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming, and alignment with mission requirements.
  • The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure requirements.
  • The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows through the Quarterly Cost & Resource Utilization Report.

Qualifications
  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or;
    • seven (7) years of equivalent experience in machine learning and predictive modeling.
  • Proposed personnel possess the knowledge and capability to develop and refine predictive models, analyze large-scale datasets, and document analytic processes.
  • Proficient in data mining, statistical modeling, and AI-driven forecasting techniques, with experience in working with structured and unstructured data sources.
  • Knowledge of data visualization, feature selection, and geospatial analytics is required.
  • Personnel must be capable of integrating data from multiple sources, ensuring model accuracy, and working within an Agile sprint cycle to deliver iterative improvements.
  • Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.
  • Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning, and in implementing models into operational workflows.

Preferred Qualifications:
  • Desirable but not required certifications include AWS Certified Data Analytics - Specialty, Microsoft Certified: Azure AI Fundamentals, or Certified Data Scientist (CDS).

Additional Information
Work Environment
  • Full remote flexibility.

Working at SOSi
All interested individuals will receive consideration and will not be discriminated against for any reason.

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