Data Analyst

NYC Criminal Justice Agency • New York, NY

8d • $95,000 - $106,000 • Hybrid

About The Position

The New York City Criminal Justice Agency (CJA) is a not-for-profit service and research organization that operates in partnership with the New York City Mayor’s Office of Criminal Justice. CJA is the City’s main pretrial services agency, combining operations, pilot projects, and research under one roof. CJA utilizes procedural justice practices to provide pretrial services to over 100,000 arrested annually in New York City. Information collected about these arrestees and subsequent case processing is maintained in the agency’s internal and externally shared database systems, which are used to conduct descriptive and evaluation research on arrestee characteristics, case processing and court outcomes, and on issues and potential reforms to criminal justice policy in New York City. CJA’s programs operate in the criminal courts and detention facilities 24 hours a day seven days a week within the 5 boroughs of NYC, employing over 300 employees, citywide.

DART – We lead research and analytics that turn CJA’s unparalleled justice system data into insights that drive policy and practice. Drawing on over 100,000 annual face-to-face interviews and comprehensive data feeds from police, courts, and corrections, we analyze complex trends, evaluate emerging policies, and apply causal techniques to assess the impact of policy and applied interventions. Through rigorous analysis, compelling visualizations, and impactful publications, we illuminate the workings of New York City’s justice system and advance new lines of inquiry to shape a fairer, more effective system.

The Data Analyst will support DART’s applied research and analytic work by defining study populations, pulling and cleaning administrative data, conducting descriptive and exploratory analyses, and producing tables, visualizations, and written products for technical and non-technical audiences.
The analyst will collaborate with DART staff and other CJA teams to answer research, policy, and operational questions, contribute to project scoping and analytic planning, conduct quality assurance, document methods and limitations, and help ensure that findings are accurate, reproducible, and responsive to stakeholder needs.

Requirements

• Minimum of 2 years of experience in data analysis, applied research, program evaluation, public policy research, or a related field.
• Master’s degree preferred in statistics, data science, economics, public policy, social science, computer science, or another quantitative field, or equivalent professional experience.
• Ability to multitask and adapt to a fast-paced environment working with urgency on requests/situations that require a quick turnaround.
• Work collaboratively to identify and troubleshoot technical problems and find solutions.
• Proven ability to collaborate with complex stakeholder relationships as well as technical and nontechnical staff.
• A positive attitude and a customer-oriented approach are required.
• Ability to communicate clearly and effectively at all organizational levels and with stakeholders that are both highly technical and non-technical.
• Proficiency in R or Python for data cleaning, analysis, and visualization.
• Experience using SQL to retrieve, join, and summarize data from relational databases.
• Strong foundation in descriptive statistics and applied research methods.
• Ability to manage multiple assignments, work collaboratively, and respond to requests with short turnaround times.
• Expertise in data wrangling and cleaning, including handling messy, incomplete, or complex administrative datasets.
• Proven ability to translate complex analyses into clear, actionable insights for technical and non-technical stakeholders.
• Strong data storytelling skills, with experience creating or supporting compelling visualizations, dashboards, and policy briefs.
• Proficiency with computational notebooks for data exploration, analysis, and presentation of results.
• Knowledge of or demonstrated interest in criminal justice policy, pretrial justice, courts, or related public-policy issues.
• Interest in using rigorous analysis to inform policy, improve programs and operations, and support better outcomes for people affected by the criminal justice system.

Nice To Haves

• Experience working with administrative data, government data, or criminal justice data is a plus.
• Familiarity with regression or other statistical methods is a plus.
• Experience integrating external data from APIs and common data formats like JSON, CSV, and Parquet.
• Familiarity with building reproducible pipelines and version-controlled workflows (Git/GitHub, CI/CD).

Responsibilities

• Use R or Python and SQL to prepare, clean, validate, and analyze data.
• Conduct descriptive and exploratory analyses and contribute to reproducible, well-documented analytic workflows.
• Develop dashboards, visualizations, and data tools to make analyses accessible to technical and non-technical stakeholders.
• Support short- and longer-term research projects by helping define analytic questions, developing measures, conducting analyses, reviewing results, and updating prior work as needed.
• Conduct analyses that help CJA understand programs, operations, trends, and outcomes.
• Work with colleagues to translate policy and operational questions into clear analytic approaches.
• Create clear tables, visualizations, presentations, dashboards, and written summaries that communicate findings to technical and non-technical audiences.
• Collaborate with DART colleagues, staff across CJA, and external partners as needed to clarify questions and share results.
• Manage assigned tasks and timelines, communicate progress and potential issues, and balance multiple projects with guidance from the supervisor.

Benefits

• health, dental and vision insurance
• a comprehensive mental health, and wellness, Employee Assistance Program (EAP) plan
• four weeks’ vacation
• paid holidays
• a retirement plan with employer matching contributions
• varied opportunities for learning and development through partnerships and vendor services for web based, in-person professional development training, as well as in-house job training and development

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level