Analyst – Knowledge Management

District Office – Position – Other Job Number  
Start Date Open Date 09/30/2025

Closing Date 11/15/2025

Under the leadership of the Manager – Data Literacy and Analysis and the Director of Knowledge Management, the Knowledge Management Analyst will design and manage projects that equip professionals at every level of the organization with access to information to improve educational outcomes for students.

The Analyst is responsible for assembling, cleaning, managing, and analyzing data sets for performance management, predictive analytics and data reporting projects based on district priorities and school needs. The Analyst will contribute to the data visualization and reporting discussions to ensure end-user understanding and application of the data being presented.

Essential Functions

• Identifies, clean, manage and analyze student achievement data (from formative and summative assessments) and other district data using Excel and/or other statistical software e.g. R. Identifies and troubleshoots anomalies as they arise.
• Applies statistical techniques to report on system progress on various indicators attendance, enrollment, mobility rates, students receiving special services and student achievement.
• Addresses internal and external school-related data requests and prepares data files and summary reports.
• Contributes to the maintenance of a growing library of dashboards, reports, and interactive data visualizations using a variety of visualization tools and techniques supported by Tableau.
• Engages stakeholders, including teachers, principals, and district office colleagues, and ensures collaboration between the Knowledge Management Team and other City Schools’ departments around the effective use of data in decision-making.
• Documents business rules and technical requirements related to analyses and dashboards.
• Effectively collaborates with multiple stakeholders (research partners, school staff, central office staff, and community stakeholders) to understand, visualize, and address data reporting needs.
• Serves as a team member that demonstrates much flexibility in a fast-paced exciting work environment.
• Maintains currency of knowledge with respect to educational research, data driven decision-making processes, tools, and supports.
• Coordinates with City Schools Information Technology Service Desk, Academics and external partners on data systems and tools to ensure effectiveness.
• Manages the development and implementation of specific project plans to include timelines, responsible parties, communications, and key performance indicators. Takes ownership of such plans while seeking support, feedback, and partnership where appropriate.
• Develops memos, reports, and presentations as needed based on school or departmental input and informed by research of subject-matter literature and current practices.
• Supports the development, communication, and modification of City Schools Knowledge Management data systems and tools for optimal performance.
• Rigorously prioritizes individual tasks and seeks clarity from supervisor in the event of competing priorities.
• Briefs the Manager on all assigned projects.
• Performs and promotes all activities in compliance with equal employment and nondiscrimination policies; follows federal laws, state laws, school board policies, and the professional standards.

Desired Qualifications

• Bachelor’s degree in data analytics, data science, statistics, business intelligence, or related field. Master’s degree preferred. Degree must be from an accredited college or institution.
• Three years of work experience or graduate-level training in programming or designing and developing data and reporting tools, information systems, and/or data analysis.
• Excellent quantitative thinking skills, including the ability to examine available data, applies decision rules and analytical methods and produce meaningful results.
• Experience in quickly merging and summarizing data, including experience in data management, data cleansing, analysis and report writing demonstrated by fluency with statistical programming packages (SAS, Stata, SPSS), or Advanced Microsoft Excel skills (including pivot tables, lookup procedures and…