Data Analyst

Center for Policing Equity · Remote

Data + Analytics Partners & Advocates Human Rights & Equality Posted 1 month ago Claim this company
Featured Job

Data Analyst (Part-Time or Full-Time)

Location flexible

About The Center For Policing Equity

The Center for Policing Equity (CPE) is a research and action think tank that, through evidence-based approaches to social justice, conducts research and uses data to create levers for social, cultural, and policy change. 

Position Description

The Data Analyst plays an important role in executing on the National Justice Database analysis plan. The uniquely robust and ever-growing National Justice Database is the first and largest database on police behavior in the country (e.g., vehicle stops, pedestrian stops, use of force, complaints against officers).

Key Responsibilities

  • Execute on analyses outlined in the National Justice Database analysis plan
  • Delivery of all code and syntax developed to conduct the analyses
  • Perform data pre-processing/wrangling tasks to prepare the data for analysis
  • Produce compelling data visualizations
  • Set up regression models and provide interpretation of the results
  • Conduct quality assurance checks to ensure there are no errors in the analyses or the interpretation of the output


  • Background in statistics/data science with specific experience in performing multiple regression, multilevel (hierarchical) modeling, and Bayesian inference
  • Highly proficient in R and/or Python
  • Ability to produce markdown notebooks with Jupyter and/or RMD/Knitr
  • Expertise in interpreting syntax across statistical software platforms (including, but not limited to, R, Python, SAS, Stata, and SPSS)
  • Experience working with geographic data (GIS shapefiles; desired, but not required)
  • Ability to explain analysis findings in clear terms that can be understood by non-technical audiences
  • Familiarity with administrative dataset cleaning and merging
  • Comfort with collaboration across a geographically distributed team
  • Collaborative Institutional Training Initiative (CITI) certified (or equivalent; this may be completed after an offer has been extended)

How to Apply

Applications will be considered on a rolling basis. However, applications received after the close date will receive delayed consideration. To apply, please submit the following materials:

Please submit the following materials to apply:

  • CV
  • Cover Letter
  • Two example analyses (preferably as Jupyter notebooks or RMD documents, though other formats are acceptable)

Please be sure to label each PDF file by including your name. For example, your submitted CV should be labeled, “LASTNAME_FIRSTNAME.CV.pdf.”

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