Senior User Researcher (Quantitative)

Great Minds is a high-growth, mission-driven organization founded by educators in 2007. As a for-profit, Public Benefit Corporation, we believe all students deserve access to meaningful, challenging content—and all teachers deserve tools that are intuitive, effective, and built for the realities of today’s classrooms.

We develop high-quality, knowledge-rich math, science and ELA curricula grounded in research and designed in collaboration with educators. Our materials reflect real classroom needs and are built to drive lasting student outcomes.

We are committed to usability, coherence, and practical implementation—supporting teachers not just through curriculum, but with professional learning, purposeful technology, and responsive service that enable strong adoption and impact.

Our products—Eureka Math and Eureka Math², Wit & Wisdom, Geodes, and the newly launched Arts & Letters ELA—are trusted by thousands of schools and districts nationwide.

Great Minds is entering a new stage of growth and product maturity. We are focused on building more connected, customer-informed experiences across the full educator journey—from curriculum to professional learning to platform and support.

Our long-term vision is to become a true partner in impact—not just delivering curriculum, but supporting educators in achieving outcomes at scale.

The  Senior User Researcher is a mixed methods researcher with a quantitative focus, who matures digital user research practices for an education curriculum company. As an individual contributor, they play a key role in establishing and making usable digital platform analytics, as well as contributing to digital platform strategy through studies and supporting research operations. Reporting to the Associate Director, User Research, this role focuses on understanding how users interact with products at scale and translating data into learning that informs product decisions and strategy.

This role is ideal for a researcher with a deep passion for analytics and mixed methods research, and an interest in growing experimentation practices that combine quantitative and qualitative approaches within a product discovery environment. They thrive working cross-functionally, partnering closely with both the digital partners in Product, Design, and Engineering as well as non-digital partners in Sales and Customer Success. They are comfortable and eager to move between product strategy and the hands-on detailed work to keep research running smoothly.

At Great Minds, we create high-quality, knowledge-building materials that deepen understanding and ignite a lifelong love for learning. We provide educators with the tools they need to help every student reach their full potential. We believe that every child is capable of greatness.

Digital Product Analytics

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  Design and support implementation of advanced analytics tooling, including coordinating closely with engineers, identifying naming taxonomies, and identifying data governance approaches

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  Support self-service enablement, including training team members on usage, creating documentation, creating dashboards

Research & Analysis

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  Design and execute mixed-methods research using data from e.g., product analytics, surveys, usage data, 1:1 interview, observations

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  Analyze online user behavior to identify patterns, trends, and opportunities for improvement

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  Monitor and improve data quality, including coordinating with engineers and refining data taxonomies

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  Design and analyze A/B tests and experiments to inform product decisions

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  Build and interpret dashboards and reports using tools such as Looker, Microsoft BI, Google Analytics

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  Leverage AI to identify efficiencies for study design, reporting, analysis and data visibility

Product Discovery

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  Support hypothesis-driven discovery and early experimentation

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  Contribute to experiment design and analysis as experimentation practices mature

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  Contribute to large-scale foundational studies to inform product strategy

Communication of Insights & Findings

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  Translate complex data into clear, compelling narratives that drive product decisions

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  Present findings to Product, Design, and leadership audiences

Cross-Functional Collaboration

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  Build strong working relationships with Product Managers, Designers, and Engineers to embed research into the digital product development lifecycle

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  Work closely and collaboratively with other researchers to mature research practices and complete studies to show impact of data-informed decision making

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  Partner with non-digital departments to triangulate insights, build confidence in research and decision-making that follows

Research Operations

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  Support recruitment needs of product workstreams, including growing our internal participant panel

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  Develop efficiencies to scale quality research practices, leveraging AI or automation where useful

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  Build documentation practices for product workstreams to enhance research repository

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  Contribute hands-on to operational needs as the team scales its practices

• 3+ years of experience (5+ years preferred) working with digital product analytics or quantitative user research for SaaS or web-based software products

• Experience with analytics platforms, A/B testing and analysis tools such as Google Analytics, Pendo, Maze, Looker, Statsig, Microsoft BI, Excel, and Google Sheets

• Working proficiency in SQL, with Python a plus, for querying and analyzing data across multiple sources

• Demonstrated ability to collaborate effectively across Product, Design, Engineering, and Data teams, and to influence decisions without direct authority

• Demonstrated ability to work independently when driving research studies while staying aligned with cross-functional partners

• K–12 or education experience is a plus, not required

• Experience with data privacy considerations for vulnerable populations, such as minors, is a plus, not required

Bachelor’s degree required; Master’s degree preferred

Full-time

Remote

The expected base salary range for this position is $109,000-$120,000, however the offered salary may be higher or lower than the above range dependent on numerous factors including, but not limited to location, work experience, skills and internal equity considerations. The base salary is not inclusive of benefits or other incentives.

A cover letter and resume are required to be considered for this position.

New employees will be required to successfully complete a background check.

Any communication to applicants relating to the Great Minds hiring process will only come from email addresses with the domains greatminds.org or greatminds.recruitee.com. If in the course of the application or hiring process with Great Minds you are contacted through another domain, are requested to provide banking or other sensitive information, or you note any other suspicious activity, please contact security@greatminds.org

Great Minds is an equal opportunity employer. We will extend equal opportunity to all individuals without regard to race, religion, color, sex (including pregnancy, sexual orientation, and gender identity), national origin, disability, age, genetic information, or any other status protected under applicable federal, state, or local laws. Our policy reflects and affirms the organization’s commitment to the principles of fair employment and the elimination of all discriminatory practices.

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