Recidiviz is building a common, open-source, technical infrastructure to help the criminal justice system achieve better outcomes (both for the public and those within the system). With the right tools, we can surface earned releases for incarcerated people, prevent avoidable admissions, and reduce racial disparities.

As a Data Analyst, you will use your background in statistical analysis, data modeling and a passion for communicating insights from data to drive business decisions. We are seeking a skilled and motivated Data Analyst with intermediate experience in SQL & Python to join our team. This position will report directly to the Director of Corporate Analytics.

This position offers a base salary of $95,000 along with company equity.

The Day-to-Day

You will play an important role in transforming data into actionable insights to influence data-driven decisions within our organization. This includes (but is not limited to):

• Conduct statistical analysis to identify relevant trends, patterns, and correlations in data.
• Refine & explore datasets for meaningful insights that can improve business operations.
• Effectively monitor and analyze the performance of short-term experiments to clearly communicate outcomes to stakeholders.
• Generate actionable insights and recommendations based on analysis, distilling technical methods into digestible information for non-technical audiences.
• Perform data cleansing & validation to ensure the accuracy and completeness of datasets.
• Develop, implement & maintain underlying data models to ensure business relevance, data quality, and integrity.
• Implement data validation techniques and quality checks to ensure accurate and reliable reporting.
• Identify and resolve data quality issues by collaborating with relevant teams.
• Monitor and maintain data integrity across different systems and databases.
• Collaborate and support team members.
• Work closely with cross-functional teams, both technical and business stakeholders, to clearly understand requirements, desired outcomes and deliver effective solutions through formal and informal presentations.

To Be Successful

Do these things sound like you? Yes? Good — you’re well on your way to being a successful Data Analyst with us!

• Starting with the obvious: you are PASSIONATE! (Seriously, you must LOVE what you do!)
• You have strong analytical and problem-solving skills with the ability to work with complex data sets.
• You have 3+ years of analytics experience or in a similar role with demonstrable proficiency in SQL, Python and relational databases (e.g., MySQL, Oracle, SQL Server).
• You have experience with data visualization tools (e.g. matplotlib, seaborn, Tableau, Sigma) and related best practices.
• You possess a strong attention to detail and a commitment to delivering high-quality work.
• You can work independently and collaborate effectively in a team environment.
• You possess excellent communication skills with the ability to translate technical concepts into clear and concise insights for non-technical stakeholders.
• And you have a bachelor’s degree in anything, we mean it! Business, History, Cooking (actually, that could be incredibly useful) … anything.

To Thrive

We’re an entrepreneurial, creative, and passionate group — and if these things sound like you, you won’t just fit in. You’ll thrive with us.

• Self-starter with the ability to “figure it out” but not afraid to ask questions.
• Knowledge of Agile Software Development Lifecycle.
• Solid understanding of data governance and data management practices.
• Experience with dbt & Git.
• Experience building and deploying predictive models.
• Experience with the Stripe API
• Familiarity with cloud computing platforms (e.g. GCP, AWS).
• No stranger to playing hard and working harder while treating others with respect and dignity.