Impact Analytics Data Analyst - Recidiviz

Recidiviz is thrilled to be hiring an Impact Analytics Data Analyst to join our team! The impact analytics team at Recidiviz measures our interventions so we can more effectively improve outcomes for the justice-involved population. We're looking for a data analyst to join our team to measure historical impact and estimate future impact to inform both our product strategy and partnerships with funders.

About Us

Recidiviz is creating safer, healthier communities by improving outcomes for people in the criminal justice system. We build technology to reduce the number of people in prison and to help criminal justice leaders embrace data-driven decision-making.

Using software tools and thoughtful product design, we've been able to safely and permanently reduce incarceration and improve outcomes. We work side-by-side with leaders of the criminal justice system, people in prison and on supervision, and ecosystem partners to build a better path forward. In addition to the revenue we earn from state partners, some of the most respected philanthropists and foundations support our work.

About the Role

The Impact Analytics Data Analyst will work alongside the research and impact tracking leads to analyze the impact of Recidiviz's products and interventions. They will build statistical models, communicate findings with stakeholders, and build reusable processes to facilitate repeated analyses. They will also contribute to aggregated metrics infrastructure and consult with other data analysts to design and measure experiments.

Core Responsibilities

• Build statistical models using Python and SQL to quantify historical impact and estimate future impact of Recidiviz interventions on the justice-involved population
• Collaborate with Recidiviz's growth and fundraising team to communicate impact analysis findings with stakeholders at a range of technical altitudes
• Build automated workflows to continuously track Recidiviz's progress in improving outcomes for the justice-involved population
• Work closely with the impact tracking and research leads on the impact analytics team to inform data-driven product strategy at Recidiviz
• Define measures of product usage and impact in Python and SQL through Recidiviz's aggregated metrics framework and Looker
• Consult with the data analysis and data science team to develop experimental and quasi-experimental rollout analysis methodologies

Minimum Qualifications

• 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+ 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

Preferred Qualifications

• Experience with statistical analysis, specifically forecasting and/or causal inference
• Experience translating nebulous research questions into strategic analysis plans, executing those plans, and recommending future courses of action informed by analysis results
• 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