Impact Analytics Data Analyst

Location: Remote, New York City, or Oakland, CA Role Type: Full-time Compensation : $97,000 Visa sponsorship: Not available Hires remotely in: United States Experience: 2+ years of full-time, professional work experience 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. People who succeed at Recidiviz lead with kindness and humility, assume good intent, learn from failure, and fix problems when they see them. They are excited to work arm in arm with government leadership and staff to improve outcomes. They are great listeners. They build deep relationships with and empathy for the people we work with and the people who our mission serves, even when those two groups feel at odds. 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 Wild success One year into the role, you will have developed a model that estimates Recidiviz’s impact on the justice-involved population over the next several years. That model, alongside other impact evaluations you conduct, will have enriched both Recidiviz’s partnerships with funders and product strategy efforts with a more detailed understanding of how Recidiviz interventions can improve outcomes for the justice-involved population. 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 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 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 Compensation Compensation is standardized based on roles and responsibilities. This ensures equitable compensation and responsible stewardship of our resources. As such, we do not negotiate compensation offers. The annual compensation for this role is: $97,000. What we offer Effective, extremely thoughtful colleagues, working together on a mission that matters 90% medical, dental, and vision insurance coverage for you and your dependents Flexible time off, including 20 days of PTO, 3 days of paid volunteering time, and 13 paid holidays per year 401(k) retirement plan with 5% company match and no vesting period 12 weeks of paid parental leave Complimentary One Medical membership (availability based on location) Partnership with Carrot to provide employees with inclusive fertility and family-forming benefits, as well as a small but growing number of hormonal health and gender-affirming care benefits Monthly ClassPass credit for personal wellness Free mental health support via Talkspace Well-located offices in Oakland and Manhattan, with the flexibility to work remotely or go into either office as you choose An annual company offsite and other ad-hoc gatherings All the exhilarating challenges and stretch opportunities of a tech startup, combined with the mission-driven heart of a nonprofit More about Recidiviz Recidiviz was an all-volunteer effort until early 2019, when Clementine, Andrew, and Joshua founded the organization. Since then, we’ve built an A-team of software engineers, designers, product managers and domain experts, from companies like Google, Apple, Dropbox, Opower, and Sidewalk Labs. Recidiviz was part of Y-Combinator’s 2019 class and has received support from some of the most respected philanthropists and foundations, including Ford Foundation, Mackenzie Scott, Schmidt Futures, Arnold Ventures, Chan Zuckerberg Initiative, and the Mozilla Foundation. Today, Recidiviz works with (and earns revenue from) over 20 state partners - big and small, red and blue - and touches over 46% of the country’s incarcerated population. We have helped to get hundreds of thousands of people out of the criminal justice system, safely and equitably. In addition to partnering with state Departments of Corrections, Recidiviz collaborates with and learns from partners – from organizations like the Correctional Leaders Association (CLA) to community based organizations and justice-impacted individuals, whose perspectives guide our work. To learn more about how we do what we do, check out our 2025 Year in Review, read some press coverage, or watch our TED Talk. And if you’re really keen to see our work, you can dive into our Github :). An important note Lasting change is always built on diversity. Recidiviz recruits, employs, trains, compensates and promotes regardless of race, religion, color, national origin, sex, sexual orientation, disability, age, veteran status, ancestry, citizenship, marital status, gender identity and all protected status as required by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a special need that requires accommodation, please let us know in your application. Even if you don’t think you meet all the criteria above, drop your resume, and we’ll take a look – you might be great for another role or another time!