Data Analyst

MISSION & VALUES

EDC Mission

Eviction Defense Collaborative (EDC) works to prevent homelessness before it starts by providing compassionate, high‑quality legal assistance, rental assistance, and supportive services to San Francisco tenants facing eviction or housing instability. We believe that housing is a human right, and we strive to ensure that every San Franciscan has meaningful access to justice and the resources needed to remain safely housed.

EDC GREAT Values

• Gratitude – Valuing one another’s contributions and recognizing the impact of our collective work
• Responsibility – Acting with accountability, integrity, and sound stewardship of public resources
• Excellence – Delivering high-quality, accurate, and mission-driven work
• Adaptability – Responding effectively to evolving systems, policies, and community needs
• Trust – Building confidence through transparency, reliability, and respect

JOB SUMMARY

The Data Analyst is a member of EDC's Data Division and is responsible for supporting the accuracy, completeness, timeliness, and reporting readiness of data entered by EDC programs and partner Legal Service Organizations (LSOs). The Data Analyst reviews reports, identifies missing or inaccurate information, follows up with staff and partner organizations regarding data corrections, and supports the preparation of monthly funder reporting submissions, including data prepared for upload to the City's GMS portal.

The Data Analyst works collaboratively with internal departments, including TRC, Litigation, RADCo, SCA, and future programs, while also supporting assigned partner LSOs. The role is designed to begin with established procedures and close supervision, with the expectation that the Data Analyst will develop increasing independence, technical proficiency, and reporting knowledge over time.

This position helps maintain high-quality data for funder reporting, audits, organizational planning, and program operations. The Data Analyst is expected to identify recurring data-quality, reporting, timeliness, system, and process issues and escalate significant or ongoing concerns to the Data Supervisor.