Oferta de trabajo: Temporary Data Analytics Intern - JR29129-3800

This job was posted by https://illinoisjoblink.illinois.gov : For more information, please see: https://illinoisjoblink.illinois.gov/jobs/12589328 Department

UL Crime Ed Lab Interns and Temporary Staff

About the Department

In cities across the country, people face high rates of gun violence, under-resourced schools, and social harms associated with the criminal justice system - all of which disproportionately impact people of color. These inequalities have profound consequences on public safety and opportunity. As a society we have failed to address these challenges, in part, because of our lack of understanding of the most effective and cost-effective solutions that can have a real impact on people\'s lives. We believe that rigorous research can help.

The University of Chicago Crime Lab and Education Lab partner with cities and communities to use data and rigorous research to design, test, and scale programs and policies that enhance public safety, improve educational outcomes, and advance justice. Our mission is to combine world-class data science and research, in partnership with government agencies, to substantially improve the effectiveness of the public sector and achieve impact at scale.

For more information about our work, visit the Crime Lab and Education Lab websites.

Job Information

Job Summary:

The Data Analytics summer internship is a great opportunity to gain a deeper understanding of policy research and to develop research skills. This position will be full-time for approximately 37.5 hours per week.

Responsibilities:

• Data cleaning, data processing, and statistical analysis.
• Writing, formatting, and editing reports and works for dissemination.
• Data entry and literature reviews.
• Administrative tasks.

Competencies:

• Interest in and aptitude for developing advanced programming and analytic skills for working with administrative data.
• Strong verbal and written communication skills with the ability to synthesize multiple sources.
• Strong initiative and a resourceful approach to problem-solving and learning are required.
• Ability to work independently and as part of a team.
• Sound critical thinking skills.
• Strong attention to detail with superb organization skills.
• Knowledge of the substantive policy area strongly.

Additional Responsibilities

Education, Experience, or Certifications:

Education:

• High school diploma or GED required.
• Significant progress toward a degree in a social science discipline (e.g., economics, public policy, statistics, or data analytics) preferred.
• Strong background in mathematics and statistics preferred.

Technical Knowledge or Skills:

• Proficiency with Microsoft Office suite required.
• Experience with at least one statistical package required (e.g. R, Stata, or Python) with a preference for R.

Required Documents:

• Resume
• Cover letter

When applying, the document(s) MUSTbe uploaded via the My Experience page, in the section titled Application Documents of the application.

Job Family

Temporary Staff

Scheduled

Weekly Hours

40

Drug Test Required

No

Health Screen Required

No

Motor Vehicle Record Inquiry Required

No

Pay Frequency

Hourly

Pay Rate Type

Hourly

FLSA Status

Non-Exempt

Pay Range

\$16.00 - \$22.00

The included pay rate or range represents the University\'s good faith estimate of the possible compensation offer for this role at the time of posting.

Benefits Eligible

This position is not eligible for benefits.

Posting Statement

The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identi y, national or ethnic origin, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University\'s Notice of Nondiscrimination.

Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.

We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages a diversity of perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange.

All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically pre