Position Description
The Center for Policing Equity (CPE) is looking for a skilled Data Analyst for our Compstat for Justice Program (C4J) with an unwavering passion for social justice issues. C4J is a new initiative aimed at providing recommendations and strategic services to law enforcement agencies (LEAs) in support of their efforts to reduce racial disparities in policing outcomes within the communities they serve.
The Data Analyst will be an integral part of CPE's C4J service delivery model. They will analyze data collected from partner law enforcement agencies (LEAs) to conduct analyses to identify department needs and perform ongoing analyses to aid the department in implementing recommendations. Additionally, the Data Analyst will be responsible for continuously iterating on the 'Needs Assessment' and C4J Implementation frameworks based on data and insights gathered from each C4J development site. This position will report to the Senior Director of C4J.
Key Responsibilities
- Perform data pre-processing/wrangling tasks to prepare the data for analysis
- Use quantitative and qualitative data to answer C4J research questions
- Execute on the data analyses required for the Needs Assessment phase of C4J
- Documenting all code developed to conduct the analyses
- Produce compelling data visualizations
- Design and run 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
- Conduct meticulous quality control and record-keeping procedures to ensure the highest levels of data integrity
- Translate findings into recommendations, strategy, and change management practices for partner agencies to employ
- Conduct project post-mortem and lead continual process improvement for data analysis following each C4J implementation
Qualifications
- Bachelor's degree required; specialization in Mathematics, Statistics, Physics, Computer Science, Economics, Finance, or other quantitative fields is preferred
- 5+ years of experience working in a Data Analyst, Business Analyst or similar role with a focus on performing advanced regression techniques, to include multivariate regression, multilevel (hierarchical) modeling, and Bayesian inference
- Possess end-to-end data expertise including data sourcing, merging, cleaning, restructuring/wrangling, and visualization
- Highly proficient in using R and/or Python for statistical programming
- 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/or SPSS)
- Ability to explain analysis findings in clear terms that can be understood by non-technical audiences
- Experience producing interactive data visualizations to communicate findings (i.e. Tableau, R Shiny, Qlikview, D3.js, etc)
- Comfort with collaboration across a geographically distributed team
- Experience working with clients and managing internal and external relationships
- Experience working with geographic data (GIS shapefiles; desired, but not required)
- Familiarity with constructing SQL queries is a plus
Application Submission Guidelines
Applications will be considered on a rolling basis. To apply, please submit the following materials:
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