Senior Policy Data Analyst - Recidiviz

Recidiviz is hiring a Senior Policy Data Analyst to join our team. We’re a small, fast-moving group that works with complex criminal justice data from state partners and develops analyses and tools that target the drivers of incarceration.

About the Role

Recidiviz's policy team works with state DOC leaders who want to rewrite old policies or write new ones, grounded in evidence and analytics, to improve outcomes. Senior Policy Data Analysts are high-autonomy technical contributors. They own an end-to-end analytic process — breaking project objectives into analytical products, designing the approach, derisking the timeline, producing findings, and preparing materials for decision-makers.

Core Responsibilities

• Building analysis from corrections and parole data: Use SQL and Python to wrangle administrative data and articulate system behavior.
• Modeling policy scenarios and quantifying tradeoffs: Apply statistical methods like regressions, time series, stock-and-flow modeling, or distributional analysis.
• Communicating findings: Create decks and memos for DOC leadership to inform decision-making.
• Running projects end-to-end: Translate project objectives into an analysis strategy, set roadmaps, and adjust course as needs shift.
• Collaborating across Recidiviz: Work across the organization to obtain state context and support policy implementation.
• Finding the next opportunity: Spot where additional analysis could unlock a decision and run early explorations.

Minimum Qualifications

• 5+ years of full-time, professional work experience exploring, analyzing, and processing complex datasets
• Professional experience using SQL with large datasets, including high proficiency writing efficient queries
• Professional experience with Python, particularly pandas, for statistical analysis and data visualization
• Sufficient statistical background to reason about analysis design and results
• Experience scoping and delivering analytical work under shifting priorities
• Experience on teams where ownership is shared across functions

Preferred Qualifications

• Experience adapting quantitative methods in ambiguous, unconstrained contexts
• Experience working with large administrative datasets from the public sector or criminal justice
• Familiarity with Google Cloud Platform, BigQuery, Looker, Jupyter notebooks, and Python/Pandas

Benefits & Perks

• 90% medical, dental, and vision insurance coverage
• Flexible time off including 20 days of PTO, 3 days of paid volunteering, and 13 paid holidays
• 12 weeks of paid parental leave
• 401(k) retirement plan with 5% company match
• Monthly ClassPass credit for personal wellness
• Free mental health support via Talkspace