Evaluation Associate

Position SummaryThe 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.Essential Functions 1) 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.2) 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.3) Prepare and submit quarterly MOE data reports for internal and public audiences.

4) Generate graphs, tables, and other data visuals.5) Assist in survey design, administration, and analysis.6) Automate regular data reporting of administrative, compliance, and quality data.7) Monitor contract compliance by coding and maintaining provider-specific automated monthly reports.8) Craft novel, exploratory reports of learning, achievement, and demographic data to support the conception and articulation of MOE's network-wide strategies.9) Support Adult Education (AEPHL) Continuous Quality Improvement (CQ) process.a. Monitor and support the collection Of program evaluation data using CQI tools across the AEPHL network of adult education providers. b. Clean, analyze, and disseminate provider-level CQI data for AEPHL network partners.c. Analyze CQ and evaluation data in aggregate to communicate trends in program improvement to all MOE and AEPHL stakeholders.10) 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.11) Ensure transparency and accountability in service provider communications through consistent external reporting and the solicitation of provider stakeholder input and feedback.12) 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.13) Develop written reports and presentations for a variety of audiences using clear, concise language.14) Perform related research and evaluation duties as assigned.15) Work collaboratively with PMT team members to ensure quality implementation of performance management activities and processes.16) Ensure data project requirements are achieved in a timely fashion.17) Other duties as assigned.Competencies, Knowledge, Skills and AbilitiesQuantitative: 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.General: 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.