INTERNSHIP DETAILS

Graduate Intern – Statistical Analyst

CompanyPort of Seattle
LocationSeaTac
Work ModeOn Site
PostedMarch 17, 2026
Internship Information
Core Responsibilities
The graduate intern will assist the Business Intelligence Research Team by applying advanced mathematics, statistics, and programming to analyze complex internal and external data using methods like SEM, HLM, Cluster analysis, and Factor analysis. They will also be responsible for clearly presenting findings and recommendations to decision-makers using data visualization and storytelling best practices.
Internship Type
full time
Company Size
2053
Visa Sponsorship
No
Language
English
Working Hours
40 hours
Apply Now →

You'll be redirected to
the company's application page

About The Company
Founded in 1911, the Port owns and operates Seattle-Tacoma International Airport, Fishermen’s Terminal — home of the North Pacific fishing fleet — and public marinas. The Port also owns two cruise ship terminals, a grain terminal, real estate assets, and marine cargo terminals through its partnership in the Northwest Seaport Alliance. Port operations help support nearly 200,000 jobs and $7 billion in wages throughout the region. Over the next 19 years, the port’s “Century Agenda” seeks to create an additional 100,000 jobs through economic growth while becoming the nation’s leading green and energy-efficient port.
About the Role

This is a full-time summer internship opportunity. The graduate intern will assist the Business Intelligence Research Team with data analysis. The graduate intern will apply advanced mathematics, statistics, and programming (R, Python, SAS) to real-world problems related to passenger/travel behavior and other airport-related data.  

The Business Intelligence Department is a team of high-performance problem-solvers focused on creating a decision-making culture informed by insights to drive action. The BI Department is an enterprise support group, constantly challenged to work with a wide spectrum of complex data spanning the Port’s aviation, maritime, and support service divisions. We want our data to tell a clear story. Throughout your internship experience, you will drive relevant analytical projects to solve real-world business challenges. As a key member of the Business Intelligence Department, you will gain insights into the key functions of your team as it relates to the Port’s broader analytics and research strategy and vision. Some of the things you will be doing include:  

  • Analysis: Analyze complex internal and external data using SEM (Structural Equation Modeling), HLM (Hierarchical Linear Modeling), Cluster analysis, Factor analysis, and other types of analyses.  
  • Insights to action: Clearly present findings and recommendations to decision makers at various levels of the organization, leveraging data visualization and storytelling best practices.  
  • Growth and development: Improve your own performance in technical skills, analytical thinking, communications, performance measurement, and continuous improvement. 


  • A student – You must be currently enrolled in a Master’s program or a recent graduate (< 1 year ago) in a degree program such as business analytics, data science, statistics, information management, or a related discipline.  
  • Committed to Equity – You will apply equity and exemplify shared values, behaviors, and practices in all aspects of the work.  At the Port of Seattle, equity is a daily responsibility and a foundational expectation for all Port employees.  
  • Data Knowledge – You have experience in data manipulation, knowledge of advanced analytical methods and practices, and a good understanding of data visualization and information design concepts.  
  • Communication – You have strong interpersonal and communication skills, written and verbal, and can effectively communicate findings to stakeholders.
  • Proactive – You are a self-starter motivated to make meaningful contributions and can effectively work in a team environment.  
  • Organized – You can work on assignments and manage time independently to complete tasks and have strong organizational skills.
  • Technical Experience – You have experience with SAS, R, Python, or other statistical software. 
Key Skills
Data AnalysisAdvanced MathematicsStatisticsProgrammingRPythonSASSEMHLMCluster AnalysisFactor AnalysisData VisualizationStorytellingData ManipulationAnalytical ThinkingCommunication
Categories
Data & AnalyticsScience & ResearchTransportationSoftware