We use cookies. Find out more about it here. By continuing to browse this site you are agreeing to our use of cookies.
#alert
Back to search results
New

Research Data Analyst (1-year Term)

Northwestern University
$73,000.00 - $85,000.00 / yr
United States, Illinois, Evanston
633 Clark Street (Show on map)
Dec 05, 2025
Apply for Job
Job ID
52858
Location
Evanston, Illinois
Add to Favorite Jobs
Email this Job

Department: IPR - Inst for Policy Res
Salary/Grade: EXS/8

Job Summary:

The Center for Neighborhood Engaged Research & Science (CORNERS) at Northwestern University is seeking an intermediate-level Data Analyst to join our team. CORNERS conducts cutting-edge research into the ways that network and neighborhood science can be used to understand and address gun violence and other pressing social problems in Chicago and beyond. Through an engaged approach, CORNERS works with community partners, civic organizations, and policymakers to build safer, healthier, and more equitable communities. Learn more about the scope of our work and how we examine the relationships between social and geographic networks and the groups/organizations that support them at www.cornersresearch.org

Provides expertise in data management, quality assurance, analysis and reporting. Establishes data accuracy and validity derived from a variety of systems. Performs data analysis using statistical techniques. Researches and analyzes information using multiple databases and creates reports of data and results. Assists in the preparation and delivery of decision support reports to both internal and external customers.

This is term-limited position ending 8/31/26. Opportunity for renewal will be based on available funding.

Specific Responsibilities:

Strategic Planning

  • Partners with clients to define requirements based on business objectives.

Administration

  • Develop standardized templates, policies, and procedures for internal and external reporting.
  • Designs and prepares documentation for qualitative and quantitative data analysis.
  • Discuss findings with senior management.

Development

  • Develop queries and quality metrics.
  • Interprets results using a variety of techniques, ranging from simple data aggregation to more complex statistical analysis.
  • Manages complex databases.

Performance

  • Completes data cleaning and organizes data files for analysis.
  • Reviews data and identifies quality issues.
  • Presents findings in an appropriate manner.

Supervises

  • Provides work direction and/or supervises staff such as team members, subordinates, contractors, vendors, students, etc.

Miscellaneous

Performs other duties as assigned.

Minimum Qualifications:

  • Successful completion of a full 4-year course of study in an accredited college or university leading to a bachelor's or higher degree; OR appropriate combination of education and experience.
  • 4 years data analysis/report writing or similar experience required.

Infrastructure

  • Code Repositories (Git, Subversion)
  • Mac OS X Operating System
  • Microsoft Office (Word, Excel, Powerpoint, Access, Outlook)
  • Microsoft SharePoint
  • SQL/MySQL/Postgres
  • Windows Operating System

Programming Languages and Frameworks

  • Python
  • Shell Scripting

Analytical

  • critical thinking
  • business intelligence application design
  • data mining
  • data modeling
  • Debugging
  • decision making
  • judgment
  • problem solving
  • Troubleshooting

Project

  • Code documentation
  • collaboration and teamwork
  • evaluate resources
  • facilitate collaboration
  • iterative & incremental development
  • organizational skills
  • planning
  • workflow development & documentation

Minimum Competencies: (Skills, knowledge, and abilities.)

  • Excellent knowledge of R or Python

Preferred Qualifications:

  • Strong quantitative skills (econometrics and/or statistics) and knowledge of social scientific theories.
  • Coursework or experience with quasi-experimental methods for observational data.
  • Considerable coursework or experience with spatial statistics, network analysis, and/or computational social science.
  • Major/master's degree in Sociology, Statistics, Economics, Mathematics, Computer Science, or related field.

Preferred Competencies: (Skills, knowledge, and abilities)

  • Considerable experience with broad range of statistical techniques, e.g., structural equation modeling, latent class analysis, etc

Target hiring range for this position will be between $73,000-$85,000 per year. Offered salary will be determined by the applicant's education, experience, knowledge, skills and abilities, as well as internal equity and alignment with market data

Benefits:
At Northwestern, we are proud to provide meaningful, competitive, high-quality health care plans, retirement benefits, tuition discounts and more! Visit us at https://www.northwestern.edu/hr/benefits/index.html to learn more.

Work-Life and Wellness:
Northwestern offers comprehensive programs and services to help you and your family navigate life's challenges and opportunities, and adopt and maintain healthy lifestyles.
We support flexible work arrangements where possible and programs to help you locate and pay for quality, affordable childcare and senior/adult care. Visit us at https://www.northwestern.edu/hr/benefits/work-life/index.html to learn more.

Professional Growth & Development:
Northwestern supports employee career development in all circumstances whether your workspace is on campus or at home. If you're interested in developing your professional potential or continuing your formal education, we offer a variety of tools and resources. Visit us at https://www.northwestern.edu/hr/learning/index.html to learn more.

Northwestern University is an Equal Opportunity Employer and does not discriminate on the basis of protected characteristics, including disability and veteran status. View Northwestern's non-discrimination statement. Job applicants who wish to request an accommodation in the application or hiring process should contact the Office of Civil Rights and Title IX Compliance. View additional information on the accommodations process.

#LI-EN1

Applied = 0

(web-df9ddb7dc-hhjqk)