
Senior Policy Data Analyst
Posted Oct 19

Posted Oct 19
This is a fully remote position, open to applicants in California, +1 more state.
• Utilize SQL and Python to manage corrections and parole administrative data.
• Model policy situations and assess tradeoffs through regressions, time series, stock-and-flow modeling, and distributional analysis.
• Convert policy ideas into tangible modeling to support evidence-based policy modifications.
• Take ownership of the entire analytical process, from breaking down objectives into products and designing the methodology to producing findings and decision materials.
• Prepare presentations and memos for the Department of Corrections leadership, customizing findings to inspire action.
• Define project scope, create roadmaps, identify uncertainties, and adjust plans as objectives evolve.
• Collaborate throughout the organization to gather state context, comprehend data infrastructure, and aid in policy implementation.
• Recognize additional analytical possibilities in assigned states and conduct preliminary explorations.
• Develop reusable analytical strategies and frameworks for colleagues.
• Travel approximately once every six months, and occasionally as necessary, to state partners within the continental United States, including prisons and parole offices.
• A minimum of 5 years of hands-on experience in exploring, analyzing, and processing complex datasets.
• Professional experience utilizing SQL with large datasets, demonstrating high proficiency in crafting efficient queries for complex extraction and transformation.
• Professional experience in Python, particularly with pandas, for statistical analysis and data visualization.
• Adequate statistical background to reason about analysis design, scrutinize results closely, and prepare analyses that withstand scrutiny.
• Experience in scoping and delivering analytical projects, balancing depth and speed under tight deadlines and shifting priorities.
• Background in teams where ownership is collaboratively shared across functions, including proactively seeking missing context and identifying risks before they escalate.
• Experience in adapting quantitative methods to introduce intuitively meaningful metrics in ambiguous, unconstrained settings (preferred).
• Experience working with large public-sector administrative datasets, particularly in relation to criminal justice (preferred).
• Familiarity with Google Cloud Platform, BigQuery, Looker, Jupyter notebooks, and Python/Pandas (preferred).
• Visa sponsorship is not available.
• Remote hires are based in the United States.
• 90% coverage for medical, dental, and vision insurance for you and your dependents.
• Flexible time off, consisting of 20 days of PTO, 3 days of paid volunteering time, and 13 paid holidays.
• 12 weeks of paid parental leave.
• 401(k) retirement plan with a 5% company match and no vesting period.
• Complimentary One Medical membership (depending on location).
• Inclusive fertility and family-forming benefits, along with hormonal health and gender-affirming care benefits through Carrot.
• Monthly ClassPass credit for personal wellness.
• Complimentary mental health support via Talkspace.
• Flexibility to work remotely or from the Oakland or Manhattan office.
• Annual company offsite each spring and other spontaneous gatherings.
• An environment within a mission-driven tech startup that offers stretch opportunities.
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