Research Analyst

Department

AI Mansueto Institute Administration

About The Department

Successful cities are key to successful societies. Throughout history, cities have represented the vibrancy and ingenuity of humanity by uniting diverse populations and fostering innovation, ultimately enabling societies to flourish. At the Mansueto Institute, we are building on the proud tradition of urban scholarship at the University of Chicago, bringing together ideas and groups to advance research, convene events, and offer opportunities to students, faculty, and others:

We identify and support the best ideas when they are poised to have an impact, aiming to produce innovative solutions. That’s why we work with partners throughout the University of Chicago to discover promising research across disciplines and provide the support needed to launch these ideas and make a true difference in people’s lives.

Our work takes a variety of forms. This includes developing research and initiatives with partners across UChicago and beyond; outreach and collaborating to identify and advance the needs of community; analyzing and presenting data so it makes a meaningful impact on policy questions; bringing together a variety of stakeholders for events on critical issues, from affordable housing to the impact of climate change on cities; training University of Chicago students to better serve and lead the cities of the future through a variety of fellowship and research opportunities; and communicating our work to media, communities, policymakers, and the general public.

We work with various schools, departments, centers, institutes, and other units across campus and outside of the university to leverage our resources to turn urban scholarship into impact. At the University of Chicago, we aim to foster a vibrant urban ecosystem. Beyond our walls, we work with community partners, government, the private sector, and others on a variety of efforts to promote a successful urban future.

Job Summary

The Mansueto Institute for Urban Innovation seeks a highly motivated Research Analyst to work closely with faculty and other researchers at the University of Chicago. The person in this position will support faculty from a range of disciplines.

This position manages scientific research projects and works under the supervision of the faculty director to analyze data, write summary reports, and assist with manuscript production, with opportunities to present research findings at meetings and/or conferences, and to co-author academic publications.

Responsibilities

• Cleans, transforms, merges, and matches between large and complex research and administrative datasets.
• Works with partners and members of the research team to propose and implement analytical approaches to solving specific research questions.
• Builds statistical models for a variety of research projects.
• Prepares results for memos, presentations, and academic papers targeting both policymakers and researchers.
• Performs a range of activities to facilitate the design of research projects and the publication of their results.
• Writes statistical computer programs and reviews computer output for consistency and quality.
• Maintains technical and administrative support for a research project.
• Analyzes and maintains data and/or specimens. Conducts literature reviews. Assists with preparation of reports, manuscripts and other documents.
• Performs other related work as needed.
  
  

Education

Minimum Qualifications

Minimum requirements include a college or university degree in related field.

Work Experience

Minimum requirements include knowledge and skills developed through < 2 years of work experience in a related job discipline.

Certifications

Preferred Qualifications

Experience

• Minimum of one to two years of relevant technical work experience, through education or prior employment.
• Drafting and delivering research results.
  
  

Technical Skills Or Knowledge

• Computing and analysis experience with various datasets using standard industry software such as Python, Stata, and/or R.
• Experience with statistical analysis applied to GIS data.
  
  

Preferred Competencies

• Strong analytical skills and problem-solving ability.
• Understand and translate researchers' scientific goals into analytical requirements.
• Work well with faculty and researchers.
• Identify and gain expertise in appropriate new methods, technologies and/or software tools.
• Perform at a high level as part of an interactive multi-disciplinary team including faculty, students and other researchers, while demonstrating self-initiative to achieve project goals and align them with the Mansueto Institute’s mission.
• A passion for knowing the upcoming state of the art in urban and geospatial data, and associated analysis and visualization tools.
• Fluency in data organization, manipulation and analysis.
  
  

Application Documents

• Resume/CV (required)
• Cover Letter (preferred)
• Analytical writing sample, a research paper or report written for a course or work assignment acceptable (preferred)
  
  

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

Job Family

Research

Role Impact

Individual Contributor

FLSA Status

Exempt

Pay Frequency

Monthly

Scheduled Weekly Hours

37.5

Benefits Eligible

Yes

Drug Test Required

No

Health Screen Required

No

Motor Vehicle Record Inquiry Required

No

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 identity, 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 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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