Data Analyst (Entry-Level)
New York CityAll locationsNew York CityRemote, New York City, or OaklandOakland, CA Remote
$85,000 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
This role works alongside experienced analysts and teammates across several teams on work that targets the drivers of incarceration. Our Data Analysts work with diverse data (criminal justice data both raw and processed from across the country, reports and policy documents from government agencies, and much more) to develop our understanding of the criminal justice system and to motivate change. In this role, you'll carry out well-defined analyses, build clear visualizations with our existing tools, and support product launches by preparing the data each product needs in each state. You'll share your findings with teams across Recidiviz and, alongside teammates, with our state partners.
What you'll bring
- 6+ months of professional work experience, including internships or research
- Recidiviz is thrilled to be hiring a Data Analyst to join our team!
- We're a small, fast-moving group that works with complex criminal justice data from our state partners and develops analyses and tools that target the drivers of incarceration.
- That's where you come in.
- We're looking for someone early in their data career who brings attention to detail to our analyses, curiosity to dig into unfamiliar and messy data, clarity in explaining what they find, flexibility to adjust in a rapidly evolving environment, and above all else, a collaborative, kind nature to add to our culture.
- 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