Senior Data Analyst

2 days ago


San Francisco, California, United States City and County of San Francisco Full time
Job Summary

The Senior Data Analyst will perform and conduct difficult and complex professional-level analytical work to support DHSH planning activities and program operations.

This position will report directly to the Manager of Data & Performance but will also provide analytical support to program staff and executive managers.

The ideal candidate will have expertise with administrative databases, including the Online Navigation and Entry (ONE System) database, to create and maintain information that is accessible, reliable, accurate, and useful to the department.

Key Responsibilities
  • Serves as project manager for the bi-annual Point-in-Time (PIT) Count of unsheltered and sheltered persons experiencing homelessness as required by HUD.
  • Leads a project team of cross-functional staff and consultant(s) to oversee PIT Count methodology, project timeline and implementation, community stakeholders and volunteer engagement, data analysis, count and survey efforts, and final reports and submissions to HUD.
  • Develops reports and conducts complex data analysis related to service utilization, client outcomes, and program operations for the purposes of meeting regulatory or funding requirements, satisfying ad hoc requests, or supporting program evaluation and performance accountability needs.
  • Develops and maintains dashboards for both public reporting and internal management purposes such as HOMstat, the Department's program to systematically review data for continuous improvement.
  • Communicates findings from research and analysis, which includes producing statistical reports that are clear and incisive, writing reports that are well-organized and articulate, and making effective public presentations to diverse audiences.
Requirements
  • Possession of a baccalaureate degree from an accredited college or university.
  • Three (3) years full-time equivalent experience performing professional-level analytical work.
  • Intermediate to advanced skills with Microsoft Excel and business intelligence software such as PowerBI, Tableau, and Looker to prepare, model, and visualize data.
  • Working understanding of relational database systems such as MySQL and SQL server; proficiency writing SQL queries a plus.
  • Strong communication and data visualization skills to articulate quantitative information to broad audiences in clear, compelling, and easily interpretable ways.
  • Experience with Python, R or statistical software (Stata, SPSS, or equivalent) to transform data and conduct statistical analyses; Experience with geospatial analysis a plus.
  • Knowledge of project management methodology, including lean processes.
  • Experience working on research and program evaluation projects.

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