Temporary Data 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 Information ​
 

Job Summary:

The Mansueto Institute for Urban Innovation seeks a highly motivated Research Professional to work closely with faculty and other researchers at the University of Chicago through the Summer Quarter.  The person will support faculty and students from a range of disciplines.

This position manages scientific research projects, and works under the supervision of the Faculty Director and Senior Data Scientist to analyze data, write summary reports, and assist with manuscript production. 

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.
• Performs other related work as needed.

.

Competencies:

• Fluency in data organization, manipulation and analysis.
• Communicate technical analyses to a non-technical audience through accessible writing and visualization.
• Strong analytical skills and problem-solving ability.
• 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’s goals.
• Passion for upcoming state of the art in urban and geospatial data, associated analysis, and identify and gain expertise in appropriate new methods, technologies and/or software tools.

Additional Requirements ​​
 

Education, Experience, or Certifications:

Education:

• Bachelor’s degree required.
• Graduate degree preferred.

Experience:

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

Technical Knowledge or Skills:

• 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.

Working Conditions and Physical Requirements:

• This is a temporary position of approximately 40 hours per week.

Required Documents:

• Resume/CV
• Cover Letter
• References Contact Information (3)
• Analytical writing sample: a research paper or report written for a course or work assignment acceptable

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

Benefit Eligibility ​
 
No

Requires Compliance with University Covid-19 Vaccination Requirement
 

No

Pay Frequency ​
 
Hourly

Pay Range
 
Depends on Qualifications

Scheduled Weekly Hours ​
 
40

Union ​
 
Non-Union

Job is Exempt
 
No

Drug Test Required
 
No

Motor Vehicle Record Inquiry Required
 
No

Health Screen Required
No

Posting Date ​
 
2024-05-01

Remove from Posting On or Before ​
 
2024-11-01

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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