This posting is with the Philadelphia Office of Children and Families (aCE) Division of Performance Management and Technology (PMT). OCF supports Philadelphia’s most vulnerable children and families and prioritizes safe children, strong families, and supported schools. OCF administers a number of City supported programs, including Out-of-school Time, Career and Connected Learning (C2L) and PHLpreK. OCF also oversees the Department of Human Services (DHS), which provides child welfare services, delinquent services, and child welfare prevention programs to promote safety, permanency, and well-being for children and youth at risk of abuse, neglect, and delinquency The Division of Performance Management and Technology supports the core missions of OCF and DHS in the following ways: Evaluating service quality and consistency, identifying needed improvements, and tracking these improvements over time; Building a world class data and information technology infrastructure; Developing and maintaining integrated information systems and data analytics so that practitioners can easily access and utilize quality and accurate data in their day-to-day decisions; Strengthening how the child welfare system utilizes data to make informed decisions about the children and families we serve; and Conducting short- and long-term research to evaluate the effectiveness of programs and system-wide initiatives in order to continually inform child welfare policy and practice. The focus areas of responsibility of the Data and Evaluation Associate are to: 1) design rigorous mixed methods program and agency evaluations (integrating qualitative and quantitative data 2) clean, manage, integrate and analyze large data sets from OG, system partners and other public institutions — utilizing various open source and licensed data cleaning and analytics software products 3) design, test and administer surveys to internal and external OCF stakeholders and partners - and 4) provide primary data integration and analysis support to performance management initiatives, including working with finance, child welfare and other OCF related data sets
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Job Type
Full-time
Career Level
Mid Level