Coordinator, System Evaluation

• Support system-level performance evaluation of the LA County Coordinated Entry System for All Populations (CES).
• In collaboration with LAHSA Programs and Data Management departments, support the development and use key performance indicators within the LA County homelessness response system.
• Support the creation and use of system management tools to monitor and evaluate system performance.
• In collaboration with LAHSA's Data Management department, participate in the development and use of standard business rules and methodologies for data management and performance analysis.
• Perform data collection, evaluation, and analysis using various data platforms.
• Provide updates comparing data point in time and historical data relative to system goals
• Analyze and evaluate system thruput data from an equity lens.
• Other duties as assigned.

• Maintain excel System KPI excel dashboards, be responsive to change requests and ensure dashboards are always updated.
• Knowledge of business rules and methodologies for the System Key Performance Indicators.
• Knowledge of LAHSA's rehousing systems and different system components.
• Explore and keep abreast with technologies and best practices that support or enhance the team's processes, tools, and capabilities.
• Participate in meetings with cross-functional teams, such as Data Management to gather required reporting for Regional Implementation Meetings.

• Curate datasets and ensure there are documented procedures and guidelines for data access.
• Build, maintain, and update datasets dependent on the needs of internal and external stakeholders, including the documentation of the process and methodology used to build the data set.
• Ensure standardization of datasets and data metrics used across queries, reports, dashboards, and data feeds.

• Support with the interpretation of data about the homeless service system and what it means for system performance and system design.
• Support developers and other members of the Data Infrastructure team with complex projects.
• Compile and update documentation for all datasets, dashboards, processes and any other work assigned.

• Passion for working on creative evaluation solutions to address homelessness.
• Bilingual in English and Spanish.
• Experience working with People who have experienced homelessness.
• Experience working with Spanish Speaking Communities and conducting focus groups and interviews in Spanish and English.
• Knowledge of business rules for System Key Performance Indicators.
• Knowledge of methodologies used by HUD, Homeless Count.
• Familiar with writing reports that include sections on Background Information, Purpose, Methodologies, Key Findings, Implications, Recommendations.
• Incorporates culturally competent practices to work with different racial/ethnic groups.
• Familiarity with SSBI tools (e.g., Tableau, PowerBI, PowerPivot), preferably Tableau/ Excel.

• Programming/Scripting experience and knowledge of data/system analysis, software development life cycle (SDLC).
• Intermediate to advanced Excel skills.
• Knowledge of HMIS, CHAMP, Looker preferred.
• Ability to communicate directly with internal and external stakeholders.
• Ability to develop, maintain, and tune complex stored procedures, queries, views, user-defined functions, cursors and common table expressions.
• Performance tuning and query optimization knowledge.
• Strong critical thinking skills.
• Strong verbal and written communication skills.
• Strong analytical and organizational skills.
• Excellent focus and attention to details.
• Ability to work collaboratively and independently.
• Excellent time management and prioritization skills.
• Open to new ideas and approaches.
• Attends Professional Development courses and keeps up to date with new evaluation methodologies.

• BA/BS in social services, or related field is strongly preferred; however, an equivalent combination of applicable training and experience will be considered.
• Experience working with homeless service provider or other social service provider.
• Experience with coding qualitative work and identifying themes based on the coding of data.
• Proven professional experience and educational background.

• Less than three (3) years of employment, eighty (80) hours per year.
• Three (3) to six (6) years of employment, one hundred twenty (120) hours per year.
• More than six (6) years of employment, the one hundred twenty (120) hour total shall be supplemented by one (1) workday of paid leave for each twelve (12) months greater than seventy-two (72) months of employment. This vacation accrual is capped at thirty (30) workdays per year

Nice-to-have skills

• Tableau
• Looker
• Programming
• Scripting
• Data Analysis
• SDLC

• Los Angeles, California

Work experience

• Data Analyst
• Business Analyst
• Business Intelligence

Languages

• English