Temporary Data Analyst Intern
The University of Chicago

Job Info

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Department

Inclusive Economy Lab

About the Department

Who We Are The Inclusive Economy Lab is led by Marianne Bertrand, the Chris P. Dialynas Distinguished Service Professor of Economics at the University of Chicago Booth School of Business, Co-Director of Social Enterprise Initiative at Booth, and the Pritzker Director of the University of Chicago Inclusive Economy Lab. Her research, which covers labor economics, corporate finance, and development economics, has been published widely. She is a member of the board of directors for the Abdul Latif Jameel Poverty Action Lab at the Massachusetts Institute of Technology. Our full-time staff currently consists of an Executive Director, Scientific Director and twenty-five full-time staff, including data analysts and program managers at our main office in downtown Chicago. Our constantly evolving portfolio of projects spans workforce development, housing and homelessness, postsecondary education, and income support policies. Our Values •\Conduct science in service of cities: We feel a sense of urgency to do research that improves people's lives. We select projects that lead to solutions for policy, practice, and increased investments on the ground. Our research is rigorous and informed by the historic and current contexts that shape urban residents' lives. •\Foster lasting relationships: We collaborate with policymakers, practitioners, and people with lived experience to understand multiple perspectives and figure out what works. •\Elevate equity & inclusion: We aim to hire people with a range of personal and professional backgrounds, skillsets, and identities. We expand access to evaluation for a broad range of organizations and we conduct work that affirms the dignity of all people. •\Check our privilege: We recognize the power and privilege we have as members of the University of Chicago. We practice humility and recognize that expertise comes in many forms and there are limits to our own. •\Embrace a growth mindset: We invest in our people and develop our skills and content knowledge together. We work respectfully as a team to achieve our shared goals
Job Information


Job Summary:

The temporary Data Analyst 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:

• Prepares sections of research results, including proofing, formatting and creating tables and graphs and communicates/presents results effectively to project managers.
• Ability to engage thoughtfully with issues related to race, identity, and equity and work across difference required.
• Data entry, reviewing and cleaning.
• Statistical analysis and modeling.
• Writing, formatting, and editing reports and works for dissemination
• Administrative tasks.

Competencies:

• Interest in and aptitude for developing programming and analytic skills for working with administrative data required.
• Verbal and written communication skills with the ability to synthesize multiple sources required.
• Experience working with messy, real-world data a plus.
• Strong initiative and a resourceful approach to problem-solving and learning are required.
• Ability to work independently and as part of a team required.
• Sound critical thinking skills required.
• Attention to detail with organization skills required.
• Analytic skills and attention to detail required.
• Demonstrated experience working with communities that have experienced segregation and disinvestment.
• First generation college students and those with lived experience in communities experiencing poverty and disinvestment are encouraged to apply.

Additional Requirements


Education, Experience, or Certifications:

Education:

• High School diploma or GED required.
  
• Significant progress towards a degree with a strong background in mathematics and statistics preferred.
  

Experience:

• Experience with data visualization preferred.
  
• Some experience with Linux preferred.
  
• Experience with data cleaning / manipulation preferred.
  

Technical Knowledge or Skills:

• Proficiency with Microsoft Office Suite required.
  
• Experience with at least one statistical package required.
  
• STATA or R strongly preferred, Python a plus
  

Required Documents:

• Cover Letter
  
• Resume
  

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

Benefit Eligibility

Yes

COVID-19 Vaccination or Approved Medical or Religious Exemption Required

Yes
Pay Frequency

Hourly
Pay Range

Depends on Qualifications
Scheduled Weekly Hours

37.5
Union

Non-Union
Job is Exempt

No
Drug Test Required

No
Motor Vehicle Record Inquiry Required

No
Health Screen Required
No
Posting Date

2022-01-25-08:00
Remove from Posting On or Before

2022-07-25-07:00
Posting Statement:


Effective October 15, 2021, the University of Chicago requires COVID vaccination for all students, faculty, and staff members. Individuals may claim exemption from the vaccine requirement for medical or religious reasons.

The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected 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 preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.

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This job has expired.