Impact Analytics Data Analyst - Remote

Remote; San Francisco (CA); Remoto; USD 87.000 - 107.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical insurance

Paid time off

Parental leave

401(k) retirement plan

Descrizione del lavoro

Recidiviz is seeking an Impact Analytics Data Analyst to join our team remotely in the United States. The role focuses on measuring historical and estimated future impact of our interventions to inform product strategy and partnerships with funders.

You will build models in Python and SQL and collaborate with cross-functional teams to drive data-driven decisions. By analyzing outcomes for justice-involved populations, you will contribute to aggregated metrics infrastructure, design experiments,

Competenze

• Strong communication and collaboration skills for working with diverse stakeholders.
• 2+ years of practical experience exploring, analyzing, and processing complex datasets.
• Proficient in SQL for large data extraction and transformation tasks; strong Python/Pandas proficiency for analysis and visualization.

Mansioni

• Build statistical models using Python and SQL to quantify historical impact and estimate future impact of Recidiviz interventions on the justice-involved population.
• Collaborate with growth and fundraising teams to communicate impact findings to stakeholders at varying technical levels.
• Create automated workflows to continuously track progress in improving outcomes for the justice-involved population.
• Work with impact tracking and research leads to inform data-driven product strategy.
• Define measures of product usage and impact in Python/SQL via Looker and the metrics framework.
• Consult with data analysis and data science teams to develop experimental and quasi-experimental rollout analysis methods.

Conoscenze

Communication

Collaboration

Data analysis

SQL

Python Pandas

Descrizione del lavoro

Recidiviz is seeking an Impact Analytics Data Analyst to join our team remotely in the United States. The role focuses on measuring historical and estimated future impact of our interventions to inform product strategy and partnerships with funders.

You will build models in Python and SQL and collaborate with cross-functional teams to drive data-driven decisions. By analyzing outcomes for justice-involved populations, you will contribute to aggregated metrics infrastructure, design experiments,