1

Graduate Assistant Data Analyst Jobs in Portland, ME

Business Analyst

Portland, ME · On-site

$85 - $100/hr

Analyze current-state processes, workflows, and data structures; develop future-state designs that ... requirements. * Assist with change management deliverables including training content ...

Business Analyst

Portland, ME · On-site

$85K - $100K/yr

Analyze current-state processes, workflows, and data structures; develop future-state designs that ... requirements. * Assist with change management deliverables including training content ...

Showing results 41-60

Graduate Assistant Data Analyst information

See Portland, ME salary details

$28.6K

$73.3K

$140.2K

How much do graduate assistant data analyst jobs pay per year?

As of Sep 6, 2026, the average yearly pay for graduate assistant data analyst in Portland, ME is $73,330.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,100.00 and $85,400.00 per year, depending on experience, location, and employer.

What is a graduate assistant data analyst?

Graduate Assistant Data Analysts are graduate students who support academic or administrative departments by analyzing data, preparing reports, and assisting with research projects. They typically use statistical software and data visualization tools to interpret data and provide insights to faculty, staff, or research teams. Their work helps inform decision-making, improve processes, and contribute to academic research. These positions often provide students with valuable hands-on experience in data analysis while they complete their graduate studies.

What types of projects and tasks does a graduate assistant data analyst work on?

As a Graduate Assistant Data Analyst, you can expect to work on a variety of projects, such as data cleaning, generating reports, performing statistical analyses, and assisting faculty or departments with research-related data needs. Your daily tasks may include collecting and organizing datasets, using analytical tools like Excel, SPSS, or Python, and collaborating with professors or research teams to support ongoing projects. This role often provides exposure to real-world data challenges and offers opportunities to develop both technical and communication skills while working in an academic or research-focused environment.

What are the key skills and qualifications needed to thrive as a graduate assistant data analyst?

To thrive as a Graduate Assistant Data Analyst, you need a strong foundation in statistics, data analysis, and research methods, typically supported by enrollment in a relevant graduate program. Proficiency in data analysis tools such as Excel, Python, R, and SQL, as well as experience with data visualization platforms like Tableau or Power BI, is essential. Strong attention to detail, critical thinking, and effective communication skills help you interpret data accurately and present findings clearly. These skills and qualities are crucial for generating reliable insights that support institutional research and decision-making.

What is the difference between Graduate Assistant Data Analyst vs Data Analyst?

AspectGraduate Assistant Data AnalystData Analyst
Required CredentialsEnrolled graduate student, often pursuing related fieldsBachelor's degree in data-related field, sometimes a master's
Work EnvironmentAcademic institutions, research projects, part-timeCorporate, government, or consulting firms, full-time
Employer & Industry UsageUniversities, research centersBusinesses, organizations across industries
Common Search & ComparisonYesYes

The main difference is that a Graduate Assistant Data Analyst is typically a graduate student working part-time in academic or research settings, focusing on supporting projects while pursuing their degree. In contrast, a Data Analyst is usually a full-time professional employed by organizations to analyze data and inform business decisions. Both roles require data analysis skills, but their work environments and commitments differ.

What are popular job titles related to Graduate Assistant Data Analyst jobs in Portland, ME?

For Graduate Assistant Data Analyst jobs in Portland, ME, the most frequently searched job titles are:

What job categories do people searching Graduate Assistant Data Analyst jobs in Portland, ME look for?

The top searched job categories for Graduate Assistant Data Analyst jobs in Portland, ME are:

What cities near Portland, ME are hiring for Graduate Assistant Data Analyst jobs?

Cities near Portland, ME with the most Graduate Assistant Data Analyst job openings:

Infographic showing various Graduate Assistant Data Analyst job openings in Portland, ME as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $73,330 per year, or $35.3 per hour.

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

South Portland, ME • On-site

$35/hr

Other

Posted 4 days ago


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.


What Stryker employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom