Research Data Analyst

About the Role

The Research Data Analyst supports Prizmah’s research, benchmarking, and evaluation initiatives by managing data throughout its lifecycle, from collection and validation to analysis and reporting.

This position is ideal for someone who enjoys organizing complex information, improving processes, and producing work that others rely on to make important decisions. Success in this role comes from producing accurate, organized, and actionable data that others can trust.

What You’ll Do

Data Management

Collect, clean, validate, merge, and maintain datasets from multiple sources.
Ensure the accuracy, consistency, and integrity of organizational data.
Develop and maintain repeatable data management processes and documentation.
Manage data imports and exports across research and survey platforms.
Identify and resolve data quality issues before analysis and reporting.

Data Analysis & Reporting

Prepare tables, charts, dashboards, and descriptive analyses.
Produce recurring benchmarking reports and summaries.
Develop concise written summaries that communicate what the data show.
Contribute the production of research reports and Knowledge Center publications.

Survey & Evaluation Support

Program and test surveys in Qualtrics and SurveyMonkey.
Aggregate and organize evaluation, and engagement data.
Produce descriptive tables and summary reports that support evaluation activities.

Research Operations

Collaborate on research projects from data collection through reporting.
Coordinate recurring data collection activities with internal staff and partner schools.
Respond to routine internal data requests.
Collaborate across departments to support research and organizational learning.
Identify opportunities to improve research workflows through thoughtful use of technology, automation, and AI.

Perform other administrative and operational support tasks as needed to support the work of the Knowledge, Research & Data team.

We’re Looking for Someone Who…

Is organized and can stay motivated in a remote work environment.
Enjoys working with data and takes pride in producing accurate, high-quality work.
Has exceptional attention to detail and a strong commitment to data integrity.
Can manage multiple projects and recurring responsibilities simultaneously.
Communicates clearly and collaborates well with colleagues.
Is comfortable learning new technologies and using AI to improve efficiency while maintaining high standards of quality.

Qualifications

Required

Bachelor’s degree or equivalent professional experience in research, data analysis, education, social sciences, statistics, nonprofit management, or a related field. Master degree preferred.
At least two years of experience working with research, benchmarking, surveys, evaluation, or data analysis.
Strong Excel skills, including pivot tables, formulas, lookups, filtering, and data cleaning.
Experience preparing reports, tables, dashboards, or descriptive analyses.
Excellent organizational skills and exceptional attention to detail.
Strong written and verbal communication skills.
Ability to manage multiple projects and deadlines in a remote work environment.

Preferred

Experience with Qualtrics, SurveyMonkey, Tableau, Google Sheets, R, or similar platforms.
Experience supporting research or program evaluation.
Experience using AI tools to improve research, data management, or analytical workflows.
Master’s degree in education, research methods, statistics, social sciences, public policy, nonprofit management, or a related field is a plus.
Familiarity with python is a plus.
Familiarity with Jewish day schools or the nonprofit education sector is a plus.

What Success Looks Like

During your first year, you will:

Help produce high-quality benchmarking and research resources used by school leaders across North America.
Build and maintain accurate, well-documented datasets that support Prizmah’s major research initiatives.
Improve the efficiency of recurring data workflows through thoughtful use of technology and AI.
Become a trusted partner known for producing reliable, high-quality work.