"Data and Evaluation Coordinator"

Data and Evaluation Coordinator

Company: National Louis University

Job Location: Chicago, Illinois

Category: Institutional Research and Planning

Type: Full-Time

Who We Are:

National Louis is a 135+ year old university that has been grounded in the values of innovation, access, excellence, and equity from its inception. As an institution, we believe in providing access to educational opportunity and that education is our greatest lever for social and economic mobility. We are a student-focused community that is committed to continuous improvement and superior student service. We believe that through education we are able to empower change and build healthy communities. Our hard-working community is based on collaboration and respect for all team members and students.

What You Will Do:

The Data and Evaluation Coordinator works with the Director of Program Design and Evaluation to support evaluation work, data management, and special project initiatives of the center.

Essential Responsibilities:

• Evaluation Efforts: Works with Director of Program Design and Evaluation to assist in the design, implementation, project management, literature review and data analysis for quantitative and qualitative evaluation studies and special projects. Collaborate to produce Research Briefs, internal and external evaluations and impact reports. Supports efforts to secure funding for programmatic and research activities related to special initiatives.
• Data Coordination: Assists various teams across the McCormick Institute for Early Childhood (MIEC) and Center for Early Childhood Leadership (CECL) with data collection efforts, including survey creation and updating, online survey response monitoring, downloading data, and sharing raw and aggregate data back to teams. Works with data collection systems and ensures consistent archival of data across all projects and adherence to timelines. Collaborates with NLU’s Strategic Data Center as appropriate.
• ARPS: Coordinates ARPS-Center Based data collection and data management, coding, and profile generation. Works in Alchemer to generate links for ARPS data collection, run syntax (Python and SQL), and works in Excel and SPSS to generate individual and aggregate ARPS profiles. Work with the team to develop an APRS-HB profile, including creating visualizations of data and generating the syntax needed to automate profiles.
• Database and Dataset Management: Enters, downloads, cleans, and provides data visualizations and analysis, and generates reports and profiles for grant funders, year-end reports, impact reports, Research Briefs, and other reports as needed. Maintains the training grid and other center-wide data collected.

Qualifications, Skills and Competencies:

• Bachelor's Degree in Statistics, mathematics, machine learning, or a social science, with a specialization in monitoring and evaluation or data science, Masters Degree preferred. Master's Degree in Early Childhood Education, Educational Leadership, or related field is acceptable, providing there is significant experience in data coordination, program evaluation, and/or statistical management.
• Certified Monitoring and Evaluation Professional (CMEP) or Certified Professional Statistician (PStat), data visualization, preferred.
• Three (3+) years demonstrated advanced knowledge and experience with data visualization, programming/code/syntax in various languages and platforms (e.g., R, SQL, Python, SPSS), specifically when driving program evaluation efforts.
• Three (3+) years demonstrated experience in data management, preferably in educational settings, working across teams and with various technologies
• Three (3+) years demonstrated experience using quantitative statistics in program evaluation and data-informed practices
• Three (3+) years demonstrated experience using various statistical programs (e.g., SPSS, R, SAS)
• Three (3+) years demonstrate experience managing various data sets, databases, and data collection systems.
• Three (3+) years demonstrated experience in Early Childhood Education settings.
• Three (3+) years demonstrated experience working in Education settings using data, evaluating programs, and/or providing statistical analysis with regard to educational programming.

Competencies:

• Evaluating Technologies: Identifies the need for new technology, thoroughly assesses features, risks and benefits of alternatives, and matches new technologies to existing organizational skills and practices.
• Implementing New Technologies: Tends to identify and apply the steps and approaches needed to implement and integrate new technology in a manner that gains quick acceptance from stakeholders while minimizing disruptions to day-to-day work requirements.

Work environment/Physical Demands/Travel Requirements:

Typical office environment, including computer work, phone calls, and organizing and storing both hard and electronic data. In addition, working conditions may include some travel to attend and present at events, which involves carrying of luggage and event materials. This position is based in Lisle and is a hybrid work environment (2/3 days in office, 2/3 days remote). The first six months of employment require 5 days per week in office.

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