Network Data Strategist; Networks 2 and 3
Listed on 2026-01-12
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Education / Teaching
Education Administration
Overview
Chicago Public Schools (CPS) is one of the largest school districts in the United States, serving over 320,000 students in 600+ schools and employing approximately 40,000 people, most of them teachers. CPS has set ambitious goals to ensure that every student, in every school and every neighborhood, has access to a world‑class learning experience that prepares each for success in college, career, and civic life.
In order to fulfill this mission, we make three commitments to our students, their families, and all Chicagoans: academic progress, financial stability, and integrity. Six core values are embedded within these commitments – student‑centered, whole child, equity, academic excellence, community partnership, and continuous learning.
District‑run CPS schools are organized into 18 networks. The Office of Network Support provides administrative support, strategic direction, and leadership development to the schools within each network while also driving critical support that helps to boost student learning.
Job SummaryReporting to the Director of Data Analytics, the Network Data Strategist will support 1‑2 networks with approximately 20‑40 urban schools. In partnership with network leadership and school principals, the Network Data Strategist will serve a critical role in building a robust data strategy for the assigned networks and schools in order to facilitate strong planning processes around increasing student achievement.
Responsibilities- Build capacity among school and network leaders to engage in robust cycles of strategic planning and data inquiry.
- Coordinate with and support the Chief of Schools’ (chief) strategies to develop principal and school team capacity in alignment with the Continuous Improvement Process. This includes supporting the chief in assisting principals and their teams in conducting root‑cause analyses, developing theories of action, and building coherent multi‑year strategies.
- Support principals and school teams in the development, implementation, and evaluation of their schools’ Continuous Improvement Work Plans (CIWP) by building capacity around strong cycles of inquiry and the use of data for planning.
- Provide frequent, actionable feedback to assist principals and their leadership teams in improving their data strategy to achieve better results.
- Build the capacity of school teams to execute strong, data‑driven instructional cycles.
- Act as a process expert and sense maker for data inquiry spanning multiple Central Office Departments and CPS Initiatives (e.g.; Assessment Data, MTSS protocols, etc).
- Remain knowledgeable of changes in data‑relevant CPS policies and initiatives such as those of accountability and assessment.
- Counsel school teams and leaders on how to interpret data with fidelity to best analytic practice and the content of CPS policies and initiatives.
- Build the capacity of school and network leaders to plan with regard to CPS Accountability policies, Multi‑Tiered Systems of Support (“MTSS”) protocols, and Assessment metric calculation.
- Provide schools and networks access to datasets as needed to support robust engagement with cycles of data inquiry.
- Provide expertise and consultation on the selection of leading and lagging metric indicators for planning purposes.
- Support chiefs so that they can assist principals and Instructional Leadership teams in setting goals and selecting appropriate measures to monitor the progress of school‑based programs.
- Provide strategic data analysis to the Chief of Schools to improve student outcomes and the effectiveness of schools, programs, and district initiatives.
- Identify implications of school and network performance data and make strategic recommendations to chief and network staff.
- Serve as the network expert and resource in understanding and accessing CPS’ data systems.
- Other related duties as assigned.
Education Required
- Bachelor’s degree from an accredited college or university required;
Preferred field of study - Computer Science, Business, Education, or related field.
Experience Required
- Minimum of five (5) years of professional experience in data analysis (e.g., data cleaning transformation,…
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