Senior Data Analyst and Learning Consultant

Senior Data Analyst and Learning Consultant

Join to apply for the Senior Data Analyst and Learning Consultant role at Kamehameha Schools

Aloha mai! Mahalo for your interest in Kamehameha Schools. If you are looking for an opportunity to utilize your skills and talents and grow in your profession, while serving and strengthening our Native Hawaiian community, we would love to have you join our ʻohana!

Kamehameha Schools is seeking a senior-level consultant to join the Office of Teaching and Learning Innovations (TLI) on Kapālama campus. TLI provides support to educational leaders across Kapālama Campus to maximize successful E Ola! teaching and learning. We value a collaborative, innovative and data-informed approach and are committed to measuring our campus’ collective progress with results rather than intentions.

As a senior member of the TLI data team, this position will work at the intersection of campus K-12 reporting and accountability, campus-level strategy, research and evaluation, and stakeholder-centered consulting. The ideal candidate is someone who would be excited to combine technical aspects of data analytics with the “people-skills” required for stakeholder-focused consulting. Most importantly, they must have a passion for our mission and align with our KS values.

Job Summary: This role involves the assessment, planning, implementation, evaluation, and communication of strategic initiatives, ensuring that enterprise strategies are integrated at the K-12 campus level. The senior consultant collects, monitors, and evaluates campus data, creating reports for educators, leaders, and external parties. This role manages the research and evaluation agenda, conducting studies to drive change and innovation with fidelity and integrity.

Essential Responsibilities:

• Campus-level Strategy Development and Implementation
  :
  Synthesizes data and research for program implementation and leads project teams to execute strategic initiatives.
• Supports strategic innovations and operational initiatives through the development, monitoring, reporting, and evaluation of outcomes to inform leadership on organizational performance, progress, and active/emerging issues.
• Develops integrated analyses for strategic decision-making.
• Implements the annual assessment & survey schedule for the campus, building capacity for data literacy among teams.

Data Analytics

• Uses advanced statistical techniques for quantitative and qualitative data analyses to assess innovation adoption, identify risks, and offer recommendations to continuously improve E Ola! Learner Outcomes.
• Coordinates timely data collection and reporting with campus plans.
• Designs year-end surveys for strategic reporting.
• Curates standardized and non-standardized data for various purposes, such as student assessment, ‘ohana perception, and student safety.
• Leads data collection projects, ensuring data quality and integrity.
• Identifies new ways for collecting, analyzing and reporting outcomes.

Research Application

• Apply research theory to practical tools for campus-wide planning and stakeholder engagement.
• Manages the campus outcomes portfolio, focusing on educational innovation and improvement.
• Lead teacher action research to co-create models for innovative classroom practices.

Communications and Collaborations

• Cultivates clear, consistent communication and information sharing across campus and enterprise partners.
• Implements project and program level communications strategies.
• Enables collaborative cross-functional teaming responding to various campus needs.
• Builds consensus and diffuses conflict on cross-functional project teams.
• Mentors and guides faculty and staff on data literacy and project initiatives.

Minimum Qualifications

• Master’s degree in Business, Education, Educational Psychology, Statistics, Data Analytics or a related field
• Minimum of 5 years' experience in education, program evaluation, or related field.
• Minimum of 1 year of experience leading projects, programs, or people.
• Experience with mid to large research projects and large data sets.
• Proficient in advanced statistical techniques and analytical tools.
• Project management, analysis and business process skills.
• Ability…