Impact Analytics Data Analyst

Recidiviz

. Analyze Recidiviz product and intervention impact alongside research and impact-tracking leads .

Posted 10/26/2026full-timeRemote • United StatesJuniorMid-Level💰 $97,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in statistical modeling and data analysis using Python and SQL, with a focus on impact measurement and data-driven product strategy. Strong collaboration and communication skills are essential for engaging with diverse stakeholders and teams.

Highest-signal resume keywords

Statistical ModelingPython ProficiencySQL Query WritingData AnalysisImpact Measurement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical ModelingSQLPythonData AnalysisData VisualizationData ExtractionData TransformationPandasImpact AnalysisAutomated Workflows

Soft Skills

Strong CommunicationCollaboration SkillsEnthusiasm for Diversity

Tools & Technologies

LookerAggregated Metrics Framework

Industry Keywords

Justice-Involved PopulationImpact-TrackingResearch CollaborationExperimental Methodologies

Tech Stack

Tools & technologies

PandasPythonSQL

About the role

Key responsibilities & impact

Analyze Recidiviz product and intervention impact alongside research and impact-tracking leads
Build statistical models in Python and SQL to quantify historical impact and estimate future impact
Communicate impact-analysis findings to stakeholders across technical levels
Build automated workflows to continuously track progress in improving outcomes for the justice-involved population
Inform data-driven product strategy through collaboration with impact-tracking and research leads
Define product-usage and impact measures using Python, SQL, the aggregated metrics framework, and Looker
Consult with data analysis and data science teams on experimental and quasi-experimental rollout methodologies
Collaborate with growth and fundraising teams and develop reusable processes for repeated analyses

Requirements

What you’ll need

2+ years of full-time, professional work experience
2 or more years of practical experience exploring, analyzing, and processing complex datasets
Professional work experience using SQL with large datasets
High proficiency writing efficient SQL queries for complex data extraction and transformation
High familiarity with Python, specifically Pandas, for statistical analysis and data visualization
Ability to inspect source data, reason about data models, examine results closely, and prepare usable data and analyses
Strong communication and collaboration skills
Enthusiasm for working with internal and external partners from diverse backgrounds and worldviews
Visa sponsorship is not available

Benefits

Comp & perks

90% medical, dental, and vision insurance coverage for you and your dependents
Flexible time off, including 20 days of PTO, 3 days of paid volunteering time, and 13 paid holidays per year
401(k) retirement plan with 5% company match and no vesting period
12 weeks of paid parental leave
Complimentary One Medical membership (availability based on location)
Inclusive fertility and family-forming benefits, plus hormonal health and gender-affirming care benefits through Carrot
Monthly ClassPass credit for personal wellness
Free mental health support via Talkspace
Well-located offices in Oakland and Manhattan, with flexibility to work remotely or from either office
Annual company offsite and other ad-hoc gatherings
Mission-driven work with thoughtful colleagues
Tech startup challenges and stretch opportunities combined with a nonprofit mission