Note: The job is a remote job and is open to candidates in USA. Recidiviz is hiring an Impact Analytics Data Analyst to measure the impact of its products and interventions on the justice-involved population. The role builds statistical models and automated measurement workflows, communicates findings to stakeholders, and supports data-driven product strategy and experiment design.
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
Skills
- 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
- 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
Benefits
- 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
Company Overview