Senior Policy Data Analyst

We are seeking an analytical and mission-driven Senior Policy Data Analyst to transform complex criminal justice data into actionable insights that support meaningful policy reform. In this role, you will partner with government stakeholders and cross-functional teams to understand system challenges and evaluate opportunities to improve outcomes. You will use SQL, Python, and statistical modeling to analyze administrative data, assess policy scenarios, and quantify potential trade-offs. Beyond technical analysis, you will translate findings into clear recommendations, presentations, and decision-support tools for senior decision-makers. You will lead projects from initial scoping through delivery, exercising independent judgment as priorities and stakeholder needs evolve. This is an opportunity to combine rigorous analytics, creative problem-solving, and collaborative engagement to help reduce unnecessary incarceration and build safer, healthier communities.

• At least five years of full-time professional experience exploring, analyzing, and processing complex datasets.

• Advanced SQL skills, including writing efficient queries for complex data extraction, transformation, and analysis across large datasets.

• Professional experience using Python, particularly pandas, for data manipulation, statistical analysis, and visualization.

• Strong statistical foundations and the ability to design sound analyses, scrutinize results, evaluate uncertainty, and produce defensible conclusions.

• Experience scoping and delivering analytical projects, including balancing analytical depth, speed, and practical value under tight timelines and shifting priorities.

• Demonstrated ability to turn ambiguous questions into structured analytical approaches and meaningful metrics that support real-world decisions.

• Strong judgment in determining which details materially affect an outcome, when simplifications are appropriate, and how to communicate limitations responsibly.

• Experience working collaboratively across functions, proactively seeking missing context, communicating risks, and addressing potential blockers before they affect delivery.

• Excellent written and verbal communication skills, including the ability to translate complex technical findings into clear, persuasive recommendations for nontechnical audiences.

• Strong project management, organization, and problem-solving skills, with the ability to manage multiple priorities independently.

• A collaborative, thoughtful, and adaptable working style, with a willingness to learn from setbacks, assume good intent, and build productive relationships with diverse stakeholders.

• A commitment to using data responsibly and thoughtfully to support evidence-based decision-making and positive social impact.

Preferred qualifications:

• Experience adapting quantitative methods to develop intuitive, decision-relevant metrics in ambiguous or open-ended contexts.

• Experience working with large public-sector administrative datasets, particularly in criminal justice, corrections, parole, or community supervision.

• Familiarity with Google Cloud Platform, BigQuery, Looker, Jupyter notebooks, and the Python/pandas ecosystem.

• Experience working with government agencies, policy teams, or other stakeholders operating in complex public-sector environments.

• Ability to connect analytical findings with practical implementation considerations and measurable policy outcomes.