Data Analytics Undergraduate/Graduate Intern – Summer 2026

Summary

The New York City Housing Development Corporation (HDC) is a public benefit corporation focused on increasing the supply of affordable housing in New York City. They are seeking a Data Analytics Intern to build data tools that analyze multifamily housing, involving data extraction, transformation, analysis, and presentation.

Responsibilities

• Extract data housed at HDC and in external data systems
• Execute data cleaning, exploratory data analysis, statistical modeling, and visualization in R
• Read, understand, and reproduce quantitative methodologies from written articles
• Document the contents and structures of data sets; describe analysis methodologies used
• Communicate findings through written documents and presentations
• General miscellaneous duties as assigned

Skills

• Enrollment in a bachelor's degree or graduate program; this internship is open to all program types, but see 'preferred qualifications' below for coursework areas most relevant to this opportunity
• Strong quantitative aptitude
• Proficiency with R (Tidyverse), Python (Pandas), or other data analysis software (e.g. Stata)
• Proficiency with Microsoft Office applications, including Excel, Word, Outlook, and PowerPoint
• Strong verbal and written communication skills
• Strong organizational and time management skills; excellent attention to detail
• Ability to apply knowledge and creative thinking
• Ability to work with a high degree of independence
• Intermediate to advanced coursework in statistics, data analytics, or data science
• Comfort with reading and understanding scholarly research articles
• Familiarity with querying databases using SQL
• Familiarity with dashboard or business intelligence systems
• Interest in housing policy and real estate

Qualifications

Must Haves

• Enrollment in a bachelor's degree or graduate program; this internship is open to all program types, but see 'preferred qualifications' below for coursework areas most relevant to this opportunity
• Strong quantitative aptitude
• Proficiency with R (Tidyverse), Python (Pandas), or other data analysis software (e.g. Stata)
• Proficiency with Microsoft Office applications, including Excel, Word, Outlook, and PowerPoint
• Strong verbal and written communication skills
• Strong organizational and time management skills; excellent attention to detail
• Ability to apply knowledge and creative thinking
• Ability to work with a high degree of independence

Nice to Haves

• Intermediate to advanced coursework in statistics, data analytics, or data science
• Comfort with reading and understanding scholarly research articles
• Familiarity with querying databases using SQL
• Familiarity with dashboard or business intelligence systems
• Interest in housing policy and real estate