Data Analyst Intern
McLean, VA
Internship
Onsite
Intern/New Grad
The MITRE Corporation is dedicated to solving some of the nation’s biggest challenges across various sectors. They are seeking a Data Analyst Intern to support the Economics work within the Commerce Department, focusing on quantitative analysis and strategic planning to enhance America's economic competitiveness.
Responsibilities
- Perform quantitative analysis on and glean insights from real-world datasets for the Department of Commerce
- Apply scientific methods, processes, algorithms, and techniques to extract knowledge and insights from structured and unstructured data, leveraging expertise in computer science, mathematics, and related fields.
- Use domain knowledge and research methodologies to frame focused, actionable questions and hypotheses about sponsor and business priorities.
- Provide strategic planning support to executive level decision makers
- Provide strategy and guidance for communication with government, industry and other stakeholders
Qualification
Required
- Must be a student enrolled full-time in an accredited degree-seeking program in Mathematics, Statistics, Data Science, Economics, Engineering, or a related degree and continue to be enrolled full-time the semester following the internship
- Sustained excellence in academic performance
- Statistical software package or programming language experience such as Stata, R, Python or others
- Strong communication skills, initiative, and experience working both independently and collaboratively
- Ability to work on open-ended problems in a team setting that requires independent contribution
Preferred
- Experience having applied data analysis learning to an internship or research/lab position
- Demonstrated interest in serving the public
- Coursework aligned with problem-solving
- Familiarity with disciplines related to the Commerce mission (e.g., trade, supply chain, data, economics, climate, spectrum, space, equity)
- Familiarity with how the federal government operates
- Desire to learn