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Intern, Data Analytics – Mission Data & Grants

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Job Description:

  • Support the Data Center of Excellence (Data COE) team across five key areas: documentation of data processes and reporting logic, exploratory data analysis beyond standard grant reporting, data pipeline and dashboard cleanup and maintenance, qualitative data capture from member research and surveys, and general research to support grant strategy and benchmarking.
  • Draft and refine plain-language documentation of how metrics are calculated, data is cleaned, and reports are generated for grant programs.
  • Develop step-by-step guides for updating and maintaining Power BI dashboards and grant reporting processes.
  • Perform exploratory analysis on grant data (e.g., credential and placement outcomes, wage trends, training impact) and prepare summary findings for the team.
  • Assist with data quality checks, including identifying duplicates, missing values, and inconsistencies across datasets.
  • Support data pipeline tasks such as validating outputs, documenting code logic, and assisting with light cleanup of Python notebooks.
  • Synthesize qualitative feedback and patterns from member meetings, surveys, and program interactions into structured summaries.
  • Conduct landscape research on how peer organizations handle subgrantee data reporting, metric definitions, and data collection practices.
  • Support preparation of materials for internal and external stakeholder meetings as needed.

Requirements:

  • Graduate students studying data science, public policy, economics, social sciences, or other related fields are preferred.
  • Undergraduate students in relevant fields with strong analytical skills are also considered.
  • Academic or professional experience completing data projects involving data processing, analysis, and visualization.
  • Experience presenting technical subjects to non-technical audiences.
  • Some familiarity with tools and software commonly used for data analysis and visualization, such as Power BI, Tableau, Excel, R, or Python.
  • Experience with technical or process documentation is a plus.
  • Exposure to qualitative research methods (e.g., surveys, interviews, thematic analysis) is a plus.

Benefits:

  • This internship pays $18.00 per hour.
  • Fully remote internship options.
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