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Data Analysis Intern Jobs in Seattle, WA (NOW HIRING)

Essential Functions: • Statistical modeling and analysis of a variety of data sources including Trackman, Hawkeye, and proprietary data sets. • Ad hoc queries and quantitative research. • Will ...

Business users, without IT or development projects, can immediately create custom analysis of vital ... We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ...

Business users, without IT or development projects, can immediately create custom analysis of vital ... We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ...

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Data Analysis Intern information

See Seattle, WA salary details

$13

$25

$48

How much do data analysis intern jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for data analysis intern in Seattle, WA is $25.71, according to ZipRecruiter salary data. Most workers in this role earn between $19.76 and $28.03 per hour, depending on experience, location, and employer.

What does a data analysis intern do?

A data analysis intern supports a data analyst while obtaining valuable practical experience to pursue a position in the field. Your responsibilities in this position include delivering data, formatting information, querying databases for sales, marketing, accounting, and other departments, developing and updating reports, and assisting with projects when needed. Your duties also include evaluating analysis systems, collaborating with other teams, responding to requests for analysis, and investigating data discrepancies. You collect information and review the model to offer recommendations.

What are the key skills and qualifications needed to thrive as a data analysis intern, and why are they important?

To thrive as a Data Analysis Intern, you should have a solid understanding of statistics, data management, and analytical thinking, often supported by coursework in mathematics, statistics, or a related field. Familiarity with tools like Excel, SQL, Python, or R, as well as data visualization platforms such as Tableau or Power BI, is typically expected. Attention to detail, problem-solving abilities, and effective communication help interns interpret data accurately and present insights clearly. These skills are vital for transforming raw data into actionable insights that support business decision-making.

What are some common challenges faced by data analysis interns during their internship, and how can they overcome them?

Data Analysis Interns often encounter challenges such as working with large, unstructured datasets and learning to use new analysis tools or programming languages. Navigating ambiguous project requirements and balancing multiple deadlines can also be difficult. To overcome these obstacles, interns are encouraged to proactively communicate with their mentors, seek feedback regularly, and make use of available resources such as online tutorials or internal documentation. Collaborating with teammates and asking questions fosters learning and helps interns efficiently resolve roadblocks.

What is the difference between Data Analysis Intern vs Data Analyst?

AspectData Analysis InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some certifications
Work EnvironmentInternship setting, entry-level tasks, supervisedFull-time role, more independent responsibilities
Employer & Industry UsageInternships in various industries, educational focusEstablished roles in finance, tech, healthcare, etc.
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer progression, skill requirements

The main difference between a Data Analysis Intern and a Data Analyst lies in experience, responsibilities, and employment status. Interns are usually students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling more complex tasks independently. Internships serve as stepping stones toward becoming a full Data Analyst.

Is a data analysis intern internship worth it?

A data analysis intern internship provides practical experience with tools like Excel, SQL, and Python, and helps develop skills in data visualization and reporting. It can enhance a resume, improve job prospects, and offer networking opportunities, making it a valuable step for those pursuing a career in data analysis.

What are the most commonly searched types of Data Analysis jobs in Seattle, WA?

The most popular types of Data Analysis jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Data Analysis Intern jobs?

Cities near Seattle, WA with the most Data Analysis Intern job openings:

Infographic showing various Data Analysis Intern job openings in Seattle, WA as of August 2026, with employment types broken down into 34% Internship, 22% Full Time, 33% Part Time, and 11% Summer. Highlights an 100% In-person job distribution, with an average salary of $53,479 per year, or $25.7 per hour.

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

Tacoma, WA • On-site, Remote

$35/hr

Temporary, Internship

Posted 3 days ago

New


Stryker rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

134th 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.


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