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Data Management Intern

Princeton University
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The Princeton University Office of the Dean of the Faculty is seeking a highly motivated and detail-oriented Data Management Intern to support its systems, data, and reporting needs. This intern will assist with configuring and managing systems used to support faculty and academic personnel processes. This internship offers an excellent opportunity to gain hands-on experience in system configuration, data analytics, and business intelligence reporting tools. The ideal candidate will support our data team in managing system operations, developing dashboards, analyzing data, and creating technical documentation.

Key Responsibilities:

  • Assist with system configuration and administration to support data workflows and testing processes.
  • Build and maintain interactive dashboards and reports using Tableau, Cognos, or Power BI.
  • Write and refine SQL queries for extracting and analyzing data.
  • Support ETL processes to ensure data integrity and accuracy across systems.
  • Use Python to automate data processing tasks and conduct basic analyses.
  • Contribute to the creation of technical documentation for internal tools and processes
  • Collaborate with staff to understand data requirements and deliver actionable insights.

Required Qualifications:

  • Knowledge of system configuration and administration.
  • Experience with at least one business intelligence tool or data analytics tool (Tableau, Cognos, or Power BI).
  • Proficiency in SQL for data manipulation and analysis.
  • Familiarity with ETL concepts and tools.
  • Basic experience with Python for data-related scripting.
  • Strong skills in technical documentation and process explanation.
  • Excellent attention to detail, problem-solving ability, and communication skills.

Preferred Qualifications:

  • Currently pursuing a degree in Computer Science, Information Systems, Business Analytics or a related field.
  • Interest in higher education data systems and academic administration.
  • 2+ years of prior experience in data management or analytics.

Additional Details:

  • Remote Work

To Apply:

Applications will be reviewed on a rolling basis. Once a finalist is selected, no additional applications will be reviewed. Interested applicants should submit a resume and a brief statement of interest outlining relevant experience and career goals.