In A Nutshell
Recidiviz is thrilled to be hiring a Data Analyst to join our team! We’re a small, fast-moving group that works with complex criminal justice data from our state partners and develops analyses and tools that target the drivers of incarceration. That’s where you come in. We’re looking for someone who has attention to detail to improve our analysis, creativity and inquisitiveness to identify and solve open-ended problems, clarity to think through complex and variable data, flexibility to adjust in a rapidly evolving environment, and above all else, a collaborative, kind nature to add to our culture.
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
Skillset
- 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
