Data Analyst at JVS - Bay Area
San Francisco, CA — full-time
The Data Analyst is a core member of JVS's Evaluation and Impact team, responsible for transforming program data into clear, credible, and actionable evidence. This role leads routine and ad hoc reporting, conducts quantitative analyses that answer organizational learning questions, and supports the data infrastructure work required to build JVS's evidence base over time. The Data Analyst works closely with the Evaluation and Impact team to ensure that data from Salesforce and other systems is accurate, well-organized, and analysis-ready. A key function of this role is supporting JVS's Evidence-Building Roadmap (EBR) — particularly activities related to outcome metrics refinement, data quality, real-time reporting, and internal program evaluation. This role reports to the Manager of Data Systems and Analytics and works in close collaboration with the Director of Evaluation and Impact, program teams, and the Salesforce and Integration Administrator. Scope Reporting & Data Analysis (primary function — approximately 60–65% of role) Pull, clean, and prepare data from Salesforce and other systems to produce regular program performance reports for internal teams and external stakeholders. Conduct analyses to answer questions on the organizational learning agenda, including participant outcomes, program completion, retention, and equity, disaggregating by race, gender, and other participant characteristics. Design and iterate on Power BI dashboards and Salesforce reports, determining what program questions each dashboard should answer, which indicators matter, and whether outputs accurately reflect program reality — working with the rest of the Evaluation and Impact team and Salesforce and Integration Administrator to implement technical changes as needed. Validate the accuracy and program relevance of real-time reporting infrastructure as it is built out, ensuring dashboards reflect the right indicators and are usable by program staff. Produce data briefs, one-pagers, and narrative summaries that translate analytical findings into accessible, decision-relevant language for non-technical audiences. Respond to ad hoc data requests from program, development, finance, and leadership teams with accuracy and timeliness. Conduct living wage analysis, marketing referral source analysis, and other recurring analytical projects as assigned. Data Quality & Governance Run regular data quality audits by pulling and analyzing Salesforce data to identify errors, gaps, inconsistencies, and missing values — documenting findings and bringing issues to the Salesforce and Integration Administrator for system-level resolution. Contribute to data quality and quality assurance protocols by stress-testing reporting outputs, surfacing patterns of data entry error, recommending changes to data collection practices from an analytical standpoint, and iIdentify opportunities for improvement to current systems and operations. Own the analytical definition layer of d