OUR ORGANIZATION
The National Education Equity Lab is a rapidly scaling education justice non-profit that seeks to propel economic mobility by democratizing access to higher education. We deliver, and support, actual college credit-bearing courses from our nation’s top colleges and universities (Howard, Stanford, Wharton, Spelman, Brown, and more) into teacher-led high school classrooms in Title 1 high schools - at no cost to students. Since starting in 2019, we will have reached approximately 40,000 scholars, from 150 districts, 32 states, by the end of this year. While in the early stages, our results to date have been exciting.
We are a passionate, 100% remote team of former education and civil rights leaders, teachers, policy-wonks, and consultants - with an active board, including former U.S. Secretary of Education, Arne Duncan; founder of the Children’s Defense Fund, Marian Wright Edelman; University of Pennsylvania Professor, Angela Duckworth; CEO of the Common App, Jenny Rickard; and former Howard University President, Dr. Wayne Frederick.
To learn more about our mission and our work, please read the New York Times front-page feature, or check out our website edequitylab.org.
THE ROLE
The Data Analytics Intern is responsible for assisting the Data & Research Team with developing, testing, and refining new tools and processes to streamline analyses of large volumes of survey data.
The ideal candidate will have a basic understanding of survey data processing and analysis, experience using R, and an ability to produce high-quality deliverables efficiently. They will provide support with wrangling survey data to facilitate timely analysis and reporting for various internal and external stakeholders. By the end of the internship, the Data Analytics Intern will have contributed to the creation of new tools, processes, and documentation that power efficient and accurate survey data processing and analysis in R by Data Team members.
This role requires 10-12 hours per week and reports to the Manager, Data & Research.
THE RESPONSIBILITIES
Wrangle different types of survey data quickly and accurately
Write R scripts to streamline data processing and analysis
Use appropriate methods to analyze quantitative and qualitative data
Document processes with sufficient detail and clear language
Create prototypes of reporting templates and assets in R Markdown
Adhere to high standards of data privacy, security, and confidentiality at all times
Support all other department heads and other team members in additional cross-functional activities
THE QUALIFICATIONS
Demonstrated experience working with educational data in R
Demonstrated ability to wrangle data quickly and accurately
Demonstrated ability to write parsimonious code and related process documentation
Demonstrated ability to manage projects
Demonstrated ability to analyze data and derive actionable insights, with strong preference for ability to systematically process and analyze qualitative data
Excellent verbal/written communication and interpersonal skills
Adept at working both independently and in collaboration and be able to think creatively and strategically
Knowledge of basic data analysis concepts and ability to apply them in context of Ed Equity Lab’s surveys
THE START & END DATE
The Data Analytics Intern will ideally begin their internship on June 16, 2025 and end their internship on August 22, 2025.
THE COMPENSATION
The Data Analytics Intern position offers a compensation range of $18 hour to $25 per hour, depending on experience.
THE TEAM
The Data Analytics Intern will join a fast-paced team of equity warriors who are committed to providing opportunities for students who have historically and systemically been left out of opportunities. Our organization is 100% remote. Applicants do not need to live in the state of New York.
HOW TO APPLY
If you are passionate about transforming education and contributing to equitable outcomes, we invite you to apply for this opportunity with our team at the National Education Equity Lab. To apply, please submit your resume and a cover letter here outlining your relevant experience and commitment to educational equity. We look forward to hearing from you!