Data Analyst (Entry-Level)

Recidiviz is hiring a Data Analyst to analyze criminal justice data and develop insights that support efforts to reduce incarceration. The role includes conducting analyses, creating visualizations, preparing data for state product launches, and communicating findings to internal teams and state partners.

Responsibilities:

• Exploring our datasets to find patterns and insights about American criminal justice systems
• Carrying out well-scoped analyses with guidance from senior analysts and our State Engagement team
• Supporting product launches in the states where we work by following established launch processes, preparing the analytical data each launch needs, and flagging data discrepancies as they come up
• Building clear, well-documented visualizations and dashboards using our existing tools
• Communicating findings to internal teams, and presenting to state partners alongside teammates
• Analyzing trends in areas related to our own work to understand how our products function

Requirements:

• 6+ months of professional work experience, including internships or research
• 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
• Care and curiosity in inspecting source data and checking results closely, so the data and analyses you prepare can be trusted and reused
• 6 or more months of practical experience exploring, analyzing, and cleaning real-world datasets. Internships and research count, and part-time roles count when their hours add up to roughly 6 months of full-time work
• Working proficiency in SQL, including joins, aggregations, and window functions
• Familiarity with Python, specifically the Pandas package, for data analysis and visualization
• Interest in criminal justice or public policy, or experience working with public-sector data
• Experience with a BI or dashboarding tool such as Looker or Tableau
• Familiarity with any part of our data stack, which includes Google Cloud Platform, BigQuery, Looker, Jupyter notebooks, and Python/Pandas