Evaluation Associate

City of Philadelphia • Philadelphia, PA

2d • $63,000 - $75,000 • Hybrid

About The Position

This position is a joint posting with the Philadelphia Office of Children and Families (OCF) Division of Performance Management and Technology (PMT) and the Mayor's Office of Education (MOE). 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 prevention programs such as Out-of-School Time and Career Connected Learning. The Mayors Office of Education brings a unified vision and organizing strategy to advance Mayor Parked s vision of a world-class system of education for Philadelphians of all ages and socioeconomic backgrounds. MOE develops policies and programs, implements mayoral initiatives, and facilitates collaboration across city departments and education institutions to support success for Philadelphia learners from kindergarten through adulthood. MOE administers programs that include Adult Education, Community Schools, Extended Day, Extended Year and Foster Grandparents and advances initiatives to support teacher recruitment and retention, and college and career readiness. The Division of Performance Management and Technology supports the core missions of OCF and MOE by: 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; Evaluating service quality and consistency, identifying needed improvements, and tracking these improvements over time. The Data and Evaluation Associate's primary responsibilities are to: 1) prepare regular reports on key programs to for program leaders and administrators; 2) support the design of rigorous mixed methods program and agency evaluations (integrating qualitative and quantitative data); 3) help design and administer program evaluation tools that measure program compliance and quality; 4) monitor programs' quality and compliance; 5) analyze administrative, compliance, and quality data; 6) design, test, and administer stakeholder surveys. The Associate will divide their time equally between PMT. where they will be supervised by a Data and Evaluation Manager, and the Mayor's Office of Education (MOE), where they will work on-site with program staff.

Requirements

• Knowledge of statistical and survey software such as R, STATA, SPSS, and Qualtrics.
• Knowledge of basic statistics including descriptive, exploratory, and inferential statistics.
• Prior experience creating basic data visualizations such as charts and tables.
• Knowledge of survey design, programming, and administration.
• Knowledge of program evaluation and outcomes measurement.
• Strong research, analysis, and writing skills. Clear and concise communication of ideas, program scopes, and findings — orally and in writing.
• Ability to problem solve and identify several courses of action to make informed decisions about project development and implementation.
• Ability to maintain strong working relationships with coworkers, leadership, AEPHL staff, and service providers.
• Ability to work on multiple projects at once while still meeting project deadlines.
• Ability to quickly pivot to emergent tasks and project needs.
• Knowledge of Microsoft Office Suite, including data analysis tools like Excel and/or Open-Source tools.
• Demonstrate knowledge of and experience with mixed methods research design and data analyses.
• Demonstrate experience with leading multiple, simultaneous data projects and with delivering such projects by the agreed deadline.
• Know personal strengths, weaknesses, opportunities, and limits.
• Reflective and seeks feedback.
• Exceptional cultural competency and proficiency.
• Ability to support evaluation and monitoring tool development, including conducting literature reviews for existing tools and using stakeholder input to update existing tools
• Prior experience conducting interviews, focus groups, and observations
• Prior experience analyzing qualitative data, including coding interviews, focus groups, and observations and conducting document reviews
• Knowledge of statistical and survey software such as R, STATA, or python
• Knowledge of basic statistics including descriptive, exploratory, and inferential statistics.
• Prior experience creating basic data visualizations such as charts and tables.
• Knowledge of survey design, programming, and administration including platforms such as Qualtrics or Cognito
• Knowledge of program evaluation and outcomes measurement
• Strong research, analysis, and writing skills
• Clear and concise communication of ideas, program scopes, and findings — orally and in writing Ability to problem solve and identify several courses of action to make informed decisions about project development and implementation
• Ability to maintain strong working relationships with coworkers, OCF leadership, and service providers
• Ability to work on multiple projects at once while still meeting project deadlines
• Ability to quickly pivot to emergent tasks and project needs
• Knowledge of Microsoft Office Suite, including data analysis tools like Excel and/or Open Source tools
• Experience with shortand long-term research design and analysis and the delivery of research products for lay/practitioner audiences.
• Bachelor's Degree in Social Policy, Government Administration, and/or other relevant Social Science
• At least 2 years of data analytics and cleaning, programming, research and evaluation design, and/or other related experience

Nice To Haves

• Existing knowledge of adult education policies and best practices strongly preferred

Responsibilities

• Support the design and implementation of research and evaluation projects that advance program and system performance improvements for Adult Education, Extended Day Extended Year and other MOE programs.
• Clean, manage, and integrate data from key system sources to produce short and long-term outcome analyses. Key data sources include but are not limited to case file reviews, program narratives, program observations, surveys, and administrative data on enrollment, attendance, invoicing, activities and outcomes.
• Prepare and submit quarterly MOE data reports for internal and public audiences.
• Generate graphs, tables, and other data visuals.
• Assist in survey design, administration, and analysis.
• Automate regular data reporting of administrative, compliance, and quality data.
• Monitor contract compliance by coding and maintaining provider-specific automated monthly reports.
• Craft novel, exploratory reports of learning, achievement, and demographic data to support the conception and articulation of MOE's network-wide strategies.
• Support Adult Education (AEPHL) Continuous Quality Improvement (CQ) process.
• Monitor and support the collection Of program evaluation data using CQI tools across the AEPHL network of adult education providers.
• Clean, analyze, and disseminate provider-level CQI data for AEPHL network partners.
• Analyze CQ and evaluation data in aggregate to communicate trends in program improvement to all MOE and AEPHL stakeholders.
• Support the strategic planning, facilitation, and day-to-day management of the Continuous Program Improvement Collaborative (CPIC), a yearlong professional development initiative that equips adult education providers to collect, monitor, and analyze data to inform continuous program improvement and decision-making.
• Ensure transparency and accountability in service provider communications through consistent external reporting and the solicitation of provider stakeholder input and feedback.
• Advise teammates on measurement and evaluation processes, including formulating research questions, planning the scope of evaluation, and developing feedback cycles between data collection and data analysis.
• Develop written reports and presentations for a variety of audiences using clear, concise language.
• Perform related research and evaluation duties as assigned.
• Work collaboratively with PMT team members to ensure quality implementation of performance management activities and processes.
• Ensure data project requirements are achieved in a timely fashion.
• Other duties as assigned.

Benefits

• Comprehensive health coverage for employees and their eligible dependents.
• 8 weeks of paid parental leave.
• Paid vacation, sick leave, and holidays
• Generous retirement savings options
• Public Service Loan Forgiveness program eligibility
• Tuition discounts and scholarships (10% to 40%) for employees, spouses, and dependents at partner institutions.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: High school or GED