CompStat for Justice (C4J) Senior Data Analyst

Center for Policing Equity ยท Remote (US)

Data + Analytics
Public Service & Civic Engagement
Human Rights & Equality
Posted 2 weeks ago

Tableau
Hadoop
R
Data Science
SQL
Featured Job

Location: Remote, at-home work location, with 20% site travel expectation

Position Description:

The Center for Policing Equity (CPE) is looking for a highly-skilled Senior Data Analyst with at least 3 years of experience in the collection and evaluation of data. The Senior Data Analyst will be responsible for performing analysis and reporting functions for the evaluation of CPE's signature interventions using publicly available data, staff collected data, programmatic data, and data from our law enforcement partners. In addition, the Senior Data Analyst will be responsible for continuously iterating on streamlining evaluation processes, data analysis, and deliverables.

This position will report to the C4J Director of Implementation and Research and with the C4J Research Team.

Key Responsibilities:

  • Analyze both qualitative and quantitative data to answer evaluation questions related to the implementation and outcomes of signature interventions (Compstat for Justice, Justice Navigator)

  • Perform data pre-processing/wrangling tasks to prepare the data for analysis

  • Make refinements to data-related implementation methods within the C4J program strategy

  • Implement creative problem-solving strategies where data needs to be manipulated or otherwise improved to answer research questions fully

  • Translate data findings into recommendations, strategies, and change management practices for partner agencies to employ

  • Track achievement on short/intermediate/long-term outcomes of interventions

  • Translate findings into recommendations and strategies for a variety of audiences

  • Lead continual process improvement for data analysis

  • Document all code used to conduct analyses and conduct meticulous quality control and record-keeping procedures to ensure the highest levels of data integrity

  • Contribute to the creation of high-quality materials for internal teams, CPE leadership, and stakeholders (i.e., reports, PowerPoint presentations, white papers)

Qualifications (required):

  • Master's degree and 5+ years of relevant professional experience

  • Possess end-to-end data expertise including data sourcing, merging, cleaning, restructuring/wrangling, and visualization

  • Highly proficient in statistical programming in R or similar platforms to conduct descriptive statistics, correlations, multivariate regressions, hierarchical modeling, time series analysis, etc.

  • Expert capability to explain analytical findings in clear terms that can be understood by non-technical audiences

  • Experience producing interactive data visualizations to communicate findings (i.e. Tableau, PowerBI, Google DataStudio, etc.)

  • Experience /knowledge enhancing data-related implementation methods to support program development and expertise to support and maintain CPE research integrity

  • Ability to collaborate effectively with a diverse team of scientists, analysts, field staff, and data engineers across the organization

  • Ability to function effectively both independently and as part of a geographically distributed team

  • Familiarity with relational databases and the ability to construct complex queries using SQL

  • Keen attention to detail and a profound appreciation for and commitment to using data to tell a compelling story via data visualizations

Qualifications (preferred):

  • Master's degree preferred with a specialization in Statistics, Data Science, Health Services Research, Social Science disciplines or a related field

  • Prior experience with and knowledge of statistics, demography, mathematics, data science, epidemiology, or other quantitative fields

  • Experience working with large publicly available datasets on public health, economics, health outcomes, and community-level indicators of wellness and equity

  • Experience and interest working with diverse analytic methodologies (e.g., longitudinal data analysis, multilevel modeling, difference-in-difference, econometrics, grounded theory)

  • Ability to produce markdown notebooks with Jupyter, RStudio, or similar platform

  • Qualitative evaluation experience with an emphasis on NVivo or related qualitative software (i.e. reviewing and coding)

  • Mixed-methods experience and/or experience analyzing qualitative data from surveys, interviews, and focus groups

  • Experience analyzing large distributed datasets using technologies like Hadoop and/or Spark

Application Submission Guidelines:

Applications will be considered on a rolling basis. To apply, please submit the following materials:

  • CV/resume

  • Cover Letter

  • Two writing samples (peer-reviewed journal articles, technical reports, white papers, data visualization products, etc.)

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