Senior Policy Data Analyst
New
R
RecidivizCriminal justice
Hires remotely in: United StatesFull-TimeSenior
Salary120,000 USD per year
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Job Details
- Experience
- 5+ years of full-time, professional work experience
- Required Skills
- PythonSQLPandasData visualizationBigQueryLooker
Requirements
- Have 5 or more years of practical experience exploring, analyzing, and processing complex datasets.
- Have professional experience using SQL with large datasets.
- Write efficient SQL queries for complex data extraction and transformation.
- Have professional Python experience, particularly with pandas, for statistical analysis and data visualization.
- Have sufficient statistical background to reason about analysis design, examine results, and prepare analyses that withstand scrutiny.
- Have experience scoping and delivering analytical work while balancing depth and speed under short timelines and shifting priorities.
- Have experience on teams with shared cross-functional ownership, including proactively seeking missing context and flagging risks.
- Preferred: experience adapting quantitative methods to create intuitively meaningful metrics in ambiguous contexts.
- Preferred: experience with large public-sector administrative datasets, especially criminal justice data.
- Preferred: familiarity with Google Cloud Platform, BigQuery, Looker, Jupyter notebooks, and Python/Pandas.
Responsibilities
- Use SQL and Python to wrangle administrative corrections and parole data and describe how systems behave.
- Model policy scenarios using methods such as regression, time series, stock-and-flow modeling, and distributional analysis.
- Assess what the data can support and quantify tradeoffs under different policy designs.
- Create decks, memos, and frameworks that communicate findings to DOC leadership and other decision-makers.
- Translate project objectives into analysis strategies and project roadmaps, and identify and address unknowns.
- Adjust analysis as project objectives and stakeholder needs change, balancing depth, speed, and impact.
- Collaborate across the organization to obtain state context, understand data infrastructure, and support policy implementation.
- Explore state-specific opportunities for additional analysis and assess whether they are worth pursuing.
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