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Government Data Analyst Internship Jobs in Spring, TX

Digital Analyst Internships

The Woodlands, TX · On-site

$90K - $106K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ...

Digital Analyst Internships

Houston, TX

$94K - $111K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ...

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ...

Digital Analyst Internships

Houston, TX · On-site

$94K - $111K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ...

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.

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Showing results 21-40

Government Data Analyst Internship information

See Spring, TX salary details

$10

$20

$37

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

As of Sep 9, 2026, the average hourly pay for government data analyst internship in Spring, TX is $20.03, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $21.83 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 Spring, TX?

For Government Data Analyst Internship jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Government Data Analyst Internship jobs in Spring, TX look for?

The top searched job categories for Government Data Analyst Internship jobs in Spring, TX are:

What cities near Spring, TX are hiring for Government Data Analyst Internship jobs?

Cities near Spring, TX with the most Government Data Analyst Internship job openings:

Summer 2027 Internship - RWE Data Scientist - Virtual

The Woodlands, TX • On-site

Stryker
Medical Equipment and Supplies Manufacturing • 10K+ employees

$35/hr

Other

Posted 7 days ago


Key responsibilities

  • Support the design and execution of observational studies using claims and other real-world data sources.

  • Assist in data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques.

  • Build and refine statistical models such as propensity matching and survival analysis under mentorship.


Stryker rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

137th of 499 rated machine equipment manufacturers


Job description

What You Get Out of the Internship

At Stryker, we believe that developing the next generation of talent is just as important as developing life-changing medical technologies. As an intern, you won’t just observe — you’ll contribute to meaningful projects, gain exposure to leaders who will mentor you, and experience a culture of innovation and teamwork that is shaping the future of healthcare. As an intern, you will:

  • Apply classroom knowledge and gain experience in a fast-paced and growing industry setting
  • Implement new ideas, be constantly challenged, and develop your skills
  • Network with key/high-level stakeholders and leaders of the business
  • Be a part of an innovative team and culture
  • Experience documenting complex processes and presenting them in a clear format

Who We Want

Challengers. People who seek out the hard projects and work to find just the right solutions.

Teammates. Partners who listen to ideas, share thoughts and work together to move the business forward.

Charismatic networkers. Relationship-savvy people who intentionally make connections with both internal partners and external contacts.

Strategic thinkers. Interns who propose innovative ideas and consistently exceed their performance objectives.

Customer-oriented achievers. Individuals with an unparalleled work ethic and customer-focused attitude who bring value to their partnerships.

Game changers. Persistent interns who will stop at nothing to live out Stryker’s mission to make healthcare better.

Opportunities Available

As a Real-World Evidence Data Science intern at Stryker, you will:

  • Work cross functionally with different departments including Clinical Affairs, Health Economics & Outcomes Research (HEOR), Regulatory Affairs, and Marketing to support real-world evidence generation programs
  • Assist in the design and execution of observational studies using claims (e.g., Premier PINC AI, NIS) and other real-world data sources
  • Support data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques to unstructured billing/clinical data
  • Prepare literature review summaries and evidence syntheses to support publication and regulatory submission efforts
  • Build and refine statistical models (e.g., propensity matching, survival analysis) under the mentorship of the RWE Research team
  • Shadow cross-functional team meetings to gain exposure to how RWE informs regulatory, reimbursement, and commercial strategy

What You Need

Required:

  • Currently pursuing a Master’s degree in Biostatistics, Epidemiology, Health Services Research, Health Economics and Outcomes Research (HEOR), Health/Biomedical Informatics, Data Science, or a related quantitative field; must remain enrolled in a degree-seeking program after the internship
  • Cumulative 3.0 GPA or above (verified at time of hire)
  • Must be legally authorized to work in the U.S. and not require employment-based sponsorship now or in the future
  • Proficiency in SQL and at least one statistical/analytical programming language (Python or R)
  • Coursework or applied project experience with observational/real-world data (claims, EHR, or registry data)
  • Strong written and verbal communication skills, with proven ability to collaborate and build relationships
  • Demonstrated leadership, problem-solving, and organizational skills with the ability to manage multiple priorities
  • Proficiency in Microsoft Office (Excel, Word, PowerPoint) and eagerness to learn in a dynamic environment

Preferred:

  • Prior exposure to claims databases (Medicare, MarketScan, Premier PINC AI, Optum) or EHR data structures
  • Familiarity with causal inference methods (propensity score matching, instrumental variables) and/or survival analysis
  • Experience with NLP applied to unstructured healthcare text
  • Prior coursework, thesis, or practicum work in a medtech, pharma, or payer setting

$20 min hourly wage – $35 max hourly wage, sign-on bonus, 11 paid holidays annually, and either paid corporate housing or a living stipend, dependent upon hiring location

Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.


What Stryker employees say

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