This is a Fully Remote Job
About Our Client:
The organization operates within the criminal justice reform sector, addressing challenges related to improving outcomes for people involved in the justice system. It develops technology-driven solutions aimed at safely reducing incarceration rates and promoting data-driven decision-making among criminal justice leaders. The organization collaborates closely with system leaders, individuals under supervision, and partners to foster safer and healthier communities, supported by both government revenues and philanthropic funding.
About the Opportunity:
The IMPACT ANALYTICS DATA ANALYST role focuses on measuring and analyzing the effects of the organization's interventions on the justice-involved population. This position contributes to shaping product strategy and strengthening partnerships by building statistical models, communicating findings to diverse stakeholders, and developing reusable analytical processes. The role is essential for informing data-driven decisions that enhance the organization's impact.
Responsibilities:
- Build statistical models using Python and SQL to assess historical and forecast future impacts of interventions
- Collaborate with growth and fundraising teams to share impact analysis with varied stakeholders
- Develop automated workflows for ongoing tracking of outcome improvements
- Partner with impact tracking and research leads to guide product strategy using data insights
- Define and implement metrics for product usage and impact within an aggregated metrics framework
- Advise data analysis and science teams on experimental design and rollout evaluation methodologies
Requirements:
- Minimum 2 years of experience analyzing complex datasets with strong proficiency in SQL and Python (Pandas)
- Ability to communicate and collaborate effectively with diverse internal and external partners
- Skilled in inspecting data sources, reasoning about data models, and preparing analyses for multiple uses
Preferred Qualifications:
- Experience with statistical forecasting and causal inference
- Capability to translate research questions into strategic analyses and recommend actions
- Background working in cross-functional, product-focused environments
- Experience with public sector datasets, particularly in criminal justice
- Familiarity with tools such as Google Cloud Platform, BigQuery, Looker, and Jupyter notebooks
Pay Range and Compensation Package:
- The annual compensation for this role is: $97,000.
Benefits & Perks:
- 90% coverage for medical, dental, and vision insurance for employees and dependents
- Flexible time off including 20 days PTO, 3 paid volunteer days, and 13 paid holidays annually
- 401(k) retirement plan with 5% company match and no vesting period
- 12 weeks paid parental leave
- Complimentary One Medical membership depending on location
- Access to inclusive fertility, family-forming, hormonal health, and gender-affirming care benefits through a partnership program
Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.
Note:
TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.