Intern, Data Analytics-Mission Data & Grants

Goodwill Industries International, Inc.•Rockville, MD

1d•$0 - $18•Remote

About The Position

This is a summer internship position, running from June 2026 to August 2026. The role can be worked either full-time (40 hours per week) or part-time (20 hours per week). The internship is fully remote, with an option for interns from the Washington, DC area to work from the Goodwill Industries International (GII) headquarters in Rockville, Maryland. The pay rate for this internship is $18.00 per hour. The intern will support the Data Center of Excellence (Data COE) team in five key areas: documenting data processes and reporting logic, conducting exploratory data analysis beyond standard grant reporting, cleaning and maintaining data pipelines and dashboards, capturing qualitative data from member research and surveys, and performing general research to support grant strategy and benchmarking. This role offers the opportunity to work cross-functionally within GII and gain experience in data documentation, analysis, dashboard development, and stakeholder engagement. Ideal candidates will demonstrate familiarity with data analysis and visualization through a portfolio project showcasing data cleaning, exploratory analysis, and visualization using tools like Python, R, or Power BI. Strong candidates will also be able to clearly document their analytical process, including data transformation, validation, and insight generation. Exceptional candidates will have experience with both quantitative and qualitative data, such as survey results or interview feedback, and the ability to synthesize findings into clear, actionable insights for non-technical audiences.

Requirements

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.
Strong oral and written communication skills required.
Excellent time management and organization skills.
Demonstrated use of Python or R for data analysis and visualization projects.
Strong writing skills with an ability to translate technical processes into clear, accessible documentation.
Comfort working with both quantitative and qualitative data.
Attention to detail and a commitment to data quality and accuracy.

Nice To Haves

Familiarity with Power BI or Tableau preferred.
Experience with technical or process documentation is a plus.
Exposure to qualitative research methods (e.g., surveys, interviews, thematic analysis) is a plus.

Responsibilities

Create and maintain clear, standardized documentation of data processes, metric calculations, and reporting logic across multiple grant programs.
Conduct exploratory data analysis to uncover insights beyond standard grant reporting, support data pipeline maintenance and Power BI dashboard updates, capture qualitative data from member organizations, and perform general research on industry benchmarks and peer organization practices.
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.