KIP Spring 2027 - Analytics Intern - Illinois Policy Institute

Stand Together; Chicago (IL); On-site; USD 5,500 - 7,500; Full time

Job summary

The Illinois Policy Institute seeks an Analytics Intern. The intern will work closely with thedata and operations team to run in-depth analyses, uncover actionable insights, and helpstakeholders make informed decisions.

This is a fast-paced environment where data is oftenmessy and unstructured, so strong analytical skills and a solid technical toolkit are essential. Stand Together Fellowships pays participants a stipend of either $7,500 for full-time participants working approximately 32 hours

Qualifications

• Proficiency in Python or R for data analysis.
• Experience building data visualizations with ggplot2, matplotlib, seaborn, or plotly.
• Experience with messy/unstructured data.

Responsibilities

• Extract, clean, and transform unstructured data.
• Conduct analyses to answer policy questions.
• Create clear data visualizations for diverse audiences.
• Document data sources, methods, and code.

Skills

Python

R

Data visualization

APIs

Web scraping

AWS

Communication

Tools

ggplot2

matplotlib

seaborn

plotly

Web scraping tools

Job description

The Koch Internship Program (KIP) is a paid experiential learning program run by Stand Together Fellowships that offers professional development, leadership training, and meaningful work experience at non-profits tackling some of our nation's most pressing policy challenges all over the United States. Early-career professionals including undergraduate/graduate/law students and recent graduates are encouraged to apply. Eligible candidates will be geographically located in and authorized to work in the United States through the duration of the program. Successful candidates will interview with both our non-profit partner organizations and Stand Together Fellowships staff, so we strongly encourage you to begin the admissions process early!

The Illinois Policy Institute is seeking an Analytics Intern. The intern will work closely with thedata and operations team to run in-depth analyses, uncover actionable insights, and helpstakeholders make informed decisions. This is a fast-paced environment where data is oftenmessy and unstructured, so strong analytical skills and a solid technical toolkit are essential.

Key Responsibilities

• Extract, clean, and transform unstructured data into usable formats.
• Conduct in-depth research and analysis to answer complex policy questions.
• Create clear, compelling data visualizations that communicate findings to both technicaland non-technical audiences.
• Maintain high standards of data and code quality to ensure work is reproducible.
• Produce clear, concise reports for stakeholders and present findings in an accessibleway.
• Document data sources, methods, and code thoroughly.

Qualifications

• Proficiency in at least one programming language for data analysis (Python or R).
• Experience building data visualizations in R or Python using libraries such as ggplot2,matplotlib, seaborn, or plotly.
• Experience working with messy or unstructured data.
• Ability to maintain data quality and translate technical findings into clear, concise reports.
• Experience working with APIs and web scraping tools.
• Familiarity with cloud platforms such as AWS.
• Strong written and verbal communication skills.

$5,500 - $7,500 a year

Stand Together Fellowships pays participants a stipend of either $7,500 for full-time participants working approximately 32 hours per week at the partner organization, or $5,500 for part-time participants working approximately 24 hours per week at the partner organization. Attending the entirety of the online and on-site KIP programming is required for both full and part-time participants.

Stand Together Fellowships believes that diversity in experiences, perspectives, knowledge and ideas fuels creativity, broadens knowledge, and helps drive success. Our admissions office treats all program participantsand applicantswith honesty, dignity, respectand sensitivity.We welcome all qualified applicants regardless ofcolor,race,religion,religious creed,sex,genderor gender identity,gender expression,sexual orientation, national origin, citizenship, ethnicity, ancestry, age, physical disability, mental disability, medical condition, pregnancy(including medical needs which may arise from pregnancy, childbirth, or related medical conditions),military andveteran status,genetic information,maritalor familialstatus, political affiliation,or any other legallyrecognized protected basis under federal, state or local laws, regulations or ordinances.