Data Analyst

Recidiviz is hiring a Data Analyst to analyze criminal justice data and identify insights that can help reduce incarceration and improve outcomes. The role collaborates across teams to develop analyses, support product launches, improve data tooling, and communicate findings to internal and external stakeholders.

Responsibilities:

• Exploring our datasets to find new insights about American criminal justice systems
• Contextualizing and communicating key findings to internal and external stakeholders
• Collaborating with our State Engagement and Implementation Engineering teams to design and execute on targeted roadmaps that drive impact in the states where we work
• Collaborating with our Product Management, Data Science, and Software Engineering teams to bring analyses and data modeling into production software
• Analyzing trends and changes in areas related to our own work to understand how our products function

Requirements:

• 2+ years of full-time, professional work experience
• Strong communication and collaboration skills, to help nurture a knowledgeable, data-oriented culture
• Enthusiasm for working with internal and external partners from diverse backgrounds and worldviews, such as government staff, researchers, journalists, technical staff, and practitioners in criminal justice reform
• Ability to inspect source data, reason about data models, examine results closely, and prepare data and analyses that are usable for various applications
• 2 or more years of practical experience exploring, analyzing, and processing complex datasets
• Professional work experience using SQL to work with large datasets, including high proficiency writing efficient queries for more complex data extraction and transformation tasks
• High familiarity with Python, specifically Pandas package, for tasks such as statistical analysis and data visualization
• Visa sponsorship: Not available
• Experience working in a cross-functional organization that designs, builds, and launches products for users
• Experience working with large datasets from the public sector, especially related to criminal justice
• Familiarity with our data stack, which includes Google Cloud Platform, BigQuery, Looker, Jupyter notebooks, and Python/Pandas