Note: The job is a remote job and is open to candidates in USA. Goodwill Industries International is offering a summer internship for Data Analytics starting in June 2026. The role focuses on supporting the Data Center of Excellence team through documentation of data processes, exploratory data analysis, and general research to support grant strategy and benchmarking.

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

Skills

• 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
• 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
• Familiarity with Power BI or Tableau preferred
• Graduate students studying data science, public policy, economics, social sciences, or other related fields are preferred, but undergraduate students in relevant fields with strong analytical skills are also considered

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