Skills
Every line of both job descriptions, and where it shows
The responsibilities of the K–12 Data Analytics & Visualization Specialist and the K–12 Learning Technology & AI Specialist, in their own words, each with the places in these samples that show it. Every link opens the exact tool, page or resource.
| Skill | AI Lessons | Activity Hub | Assessment Calendar | Learning Hub | MAP Dashboard | Data Anonymizer | Lion Tracks | School Review | AI Pilot Evaluation | Resources | Case studies |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Data Analytics & Visualization Specialist | |||||||||||
| Questions and analysis | |||||||||||
| Disaggregate and explain | |||||||||||
| Program evaluation and surveys | |||||||||||
| Secure data handling | |||||||||||
| Dashboards and measures | |||||||||||
| Visual reports | |||||||||||
| Prototype, test, reduce manual work | |||||||||||
| AI in analytical work | |||||||||||
| Validate AI-assisted work | |||||||||||
| Extract, transform, reconcile; SQL | |||||||||||
| Staff data literacy | |||||||||||
| Systems and migration | |||||||||||
| Learning Technology & AI Specialist | |||||||||||
| Choose tools with teachers | |||||||||||
| AI in lessons and assessment | |||||||||||
| AI literacy | |||||||||||
| Pilot AI tools, show impact | |||||||||||
| Professional learning | |||||||||||
| Visual design | |||||||||||
| Templates and remixing | |||||||||||
| Evaluate systems | |||||||||||
| Requirements to adoption | |||||||||||
| Agency, design thinking, digital citizenship | |||||||||||
| Safety, privacy, access, ethics | |||||||||||
K–12 Data Analytics & Visualization Specialist
Take the tour →Partner with school leaders, teachers, departments, and operational teams to identify important questions and analyze student learning, assessment, enrollment, demographic, and operational data.
Produce recurring and ad hoc analyses, disaggregate data appropriately, and explain patterns, recommendations, assumptions, and limitations to nontechnical audiences.
Support program evaluation, surveys, and strategic initiatives through appropriate measures, quantitative and qualitative analysis, and monitoring of progress and outcomes.
Support secure, sustainable data workflows and appropriate access, confidentiality, retention, and responsible handling of student, family, employee, and institutional information.
Design, develop, and maintain dashboards and reports; define measures, filters, access, calculations, data sources, and refresh schedules with stakeholders.
Create polished infographics, presentations, and visual reports using strong graphic design, typography, layout, color, and accessible visual hierarchy.
Understand users’ needs, prototype and test designs, and refine visual resources and templates for reporting and shared team initiatives; reduce duplicated and manual reporting.
Evaluate and use approved AI tools to assist with queries, code, data preparation, report drafting, and workflow automation where they add practical value.
Validate AI-assisted work against source data and appropriate analytical methods; document material assumptions, check for bias, and protect sensitive information.
Collaborate … to extract, transform, reconcile, and combine data from master data sources using spreadsheets, SQL, reporting tools, APIs, and appropriate methods.
Build staff data literacy through professional learning, tutorials, and guidance on dashboards, interpretation, and common analytical pitfalls.
Contribute to system evaluation, requirements gathering, implementation, data migration, testing, and onboarding.
K–12 Learning Technology & AI Specialist
Take the tour →Consult with individual teachers, teams, departments, and school leaders to identify learning needs and select tools based on instructional purpose, student needs, accessibility, and evidence of impact.
Lead practical support for AI integration, including lesson preparation, feedback, differentiation, creative work, and assessment approaches that preserve meaningful evidence of student learning.
Support the development of teacher and student AI literacy, including critical evaluation of outputs, bias, accuracy, attribution, privacy, academic integrity, and age-appropriate use.
Evaluate and pilot AI tools, gather evidence of impact, and help put school AI guidance into practice in collaboration with academic and technology leaders.
Design and facilitate differentiated workshops, demonstrations, drop-in sessions, and asynchronous resources; support parent and community learning about AI, digital citizenship, and technology.
Design polished teaching resources, presentations, infographics, tutorials, digital publications, and visual materials … Apply typography, layout, color, imagery, visual hierarchy, and accessibility principles.
Develop reusable templates and visual resources; support teachers and students in improving the design of their own digital work.
Participate in or lead system evaluations, pilots, and implementations, considering educational value, usability, accessibility, privacy, security, integration, sustainability, and cost.
Gather requirements and feedback; coordinate testing, communication, documentation, training, and adoption support with school leaders, vendors, and technical colleagues.
Help teachers develop student agency, creativity, collaboration, media literacy, digital citizenship, and design thinking.
Commitment to student safety, privacy, accessibility, copyright, and ethical technology use.