The Carnegie Foundation’s Evidence & Analytics group strives to advance our knowledge of and practice in how data is used to drive real improvement in educational settings. The Evidence & Analytics Associate will join a group that is responsible for supporting networks of educational practitioners and researchers by designing measurement tools and infrastructures, conducting quantitative and qualitative analyses, and supporting the interpretation and use of data in practice improvement. We are looking for individuals with a strong analytic background paired with a commitment to the utility of analytic techniques in educational settings to drive meaningful improvement. We also seek an individual with an interest in sharing knowledge through publications and presentations for diverse audiences (i.e., scholars, practitioners, or leaders).
Please Note: In compliance with county health orders, this position will be directed to perform most work duties from home and may only report to the office to perform duties they cannot do from home.
The Evidence & Analytics Associate will have three primary areas of focus in his/her work at the Foundation. The first area centers on development and use of measurement for improvement efforts. The second area centers on development and analysis of the Foundation’s network health survey. The third area centers on supporting the growing work of the Foundation around “Evidence for Improvement”: the identification of analytic supports needed by improvement enterprises.
The Evidence & Analytics group supports external collaborators dedicated to forming Networked Improvement Communities (NICs) and other organized efforts (e.g., research-practice-partnerships) to address important issues in education by leveraging data to make improvement on them. These improvement enterprises are often engaged in creating and enacting measurement systems that can help their communities learn their way into higher levels of performance. The Evidence & Analytics Associate will be responsible for building the capacity of these groups and contribute to an emerging field of improvement analytics in the education sector.
The Evidence & Analytics Associate will also work with survey data that examines the health of improvement partnerships and networks. S/he will lead efforts to optimize the survey, analyze survey results (including, potentially, using social-network analysis), and share findings with network members.
The Evidence & Analytics Associate will support the growing body of work related to Evidence for Improvement. Projects vary in nature, but have included qualitative developmental evaluation studies, creation and execution of professional development workshops to help leaders and analysts understand the mindset and tasks needed to improve successfully, and the development of theoretical frameworks to guide such work.
The specific work activities of the Evidence & Analytics Associate will vary depending upon the needs of each network. By way of example, they may include, but are not be limited to:
- Design, conduct, interpret, and support the use of quantitative analyses. Conduct analyses of large data sets using descriptive and inferential statistical techniques including multivariate regression modeling, hierarchical linear regression modeling, etc.
- Work with external and internal collaborators to determine and develop practical measures for a specific problem of practice improvement addressing gaps in achievement. Partner with content experts, practitioners, and educational leaders to identify measures that can provide useful feedback in the course of making progress on specific improvement aims. In some cases, this will involve original measurement development relevant to key educational, psychological, pedagogical, and organizational constructs.
- Advise on the creation of measurement infrastructures capable of supporting improvement. Consult with and advise the leadership of each of several improvement enterprises as well as improvement research specialists on technical matters concerning improvement metrics, data capture, visualization, analysis, interpretation, and use.
- Facilitate educators’ use of data for improvement. Assist various groups to interpret and use data to guide improvement efforts.
- Develop the capacities of others to engage in improvement analytics. Design, develop, facilitate, and refine training and learning experiences for the training and capacity building of others to engage in improvement analytics and practical measurement — their conceptualization, design, execution and use.
- Author and present a variety of knowledge products. Represent the Foundation at professional conferences and with leading academics and practitioners in the field. Produce high quality research reports for peer reviewed academic journals and make unique/significant contributions to the education field’s knowledge base.
Education & Experience Requirements
- Ph.D. in education, or closely related social science field (i.e., sociology, anthropology, psychology, economics, public policy, etc.) with focus in education.
- Evidence of and demonstrated accomplishment in working with educators to identify and use measures and related analytics to reflect on performance.
- Evidence of and accomplishment in education-related research, preferably in both academic and applied settings.
- Proficiency in traditional educational research methods paired with an openness to how those methodologies may be adapted to better serve the improvement of practice.
- Knowledge of educational systems (including organization, structure, governance, and social contexts) as well as the most significant problems and issues with which such systems are currently engaged.
- Demonstrated ability to use a range of statistical analysis skills (e.g., exploratory data analysis, descriptive and inferential statistics, etc.)
- Proficiency with statistical software, including R.
- Disposition to understand what (e.g., in terms of measures, data analysis, visualizations, etc.) is “useable” in practical settings for students, faculty, and institutions.
- Knowledge and a deep-seated interest in expanding one’s knowledge in the basic tenets of improvement research, including improvement analytics, using evidence to inform and support positive change and improvement, etc.
- Open and flexible about the use of quantitative methods and demonstrated interest and willingness to work on research projects that integrate qualitative/quantitative research methods.
- Committed to the use of data within an improvement science paradigm.
- Ability to work with multiple constituencies including post secondary administrators, institutional researchers, K-12 practitioners and administrators, program leads, policy makers and the public.
- Highly collaborative and flexible, ability to work in a fast-paced environment as well as proactive in decision making and time management.
- Strong organizational abilities, problem-solving skills, attention to detail, and ability to manage multiple work streams simultaneously.
- Excellent interpersonal and communication skills.
- Knowledge of or expertise in adolescent literacy desirable but not required.
Please Note: Successful candidates must be authorized to work in the United States. Visa sponsorship is not available for this position.
BENEFITS & PERKS
- Full medical, dental, vision, life, and long-term care insurance, as well as employer subsidized flexible spending plans
- A retirement savings plan, including employer contributions and the opportunity for your own tax-advantaged savings
- Generous time-off benefits including paid holidays and paid parental leave
- Matching Gift program to benefit charitable organizations and Educational Assistance to further your professional development
- The facility is located in Stanford, California in a quiet pastoral setting near a hiking trail.
- Amenities include a communal kitchen (coffee, tea, and drinks provided), outdoor eating/gathering areas, free parking, and electric car charging stations.
- The Foundation offers a collaborative, community-building atmosphere grounded in an environment of mutual respect.
Permanent link to page: https://www.carnegiefoundation.org/engage-with-us/jobs/listings/associate-evidence-analytics/