Senior User Researcher (Quantitative

Who We Are

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.

• Eureka Math is the most widely used math curriculum in the U.S., and is focused on balancing conceptual understanding, procedural fluency, and application.
• Wit & Wisdom and Arts & Letters ELA anchor our reading strategy with content-rich, grade-level instruction that integrates literature, history, and the arts, grounded in the science of reading.
  Geodes complements our reading suite with decodable texts that pair phonics with meaningful content to support early literacy.

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.

• Design and support implementation of advanced analytics tooling, including coordinating closely with engineers, identifying naming taxonomies, and identifying data governance approaches
• Support self-service enablement, including training team members on usage, creating documentation, creating dashboards

• Design and execute mixed-methods research using data from e.g., product analytics, surveys, usage data, 1:1 interview, observations
• Analyze online user behavior to identify patterns, trends, and opportunities for improvement
• Monitor and improve data quality, including coordinating with engineers and refining data taxonomies
• Design and analyze A/B tests and experiments to inform product decisions
• Build and interpret dashboards and reports using tools such as Looker, Microsoft BI, Google Analytics
• Leverage AI to identify efficiencies for study design, reporting, analysis and data visibility

• Support hypothesis-driven discovery and early experimentation
• Contribute to experiment design and analysis as experimentation practices mature
• Contribute to large-scale foundational studies to inform product strategy

• Translate complex data into clear, compelling narratives that drive product decisions
• Present findings to Product, Design, and leadership audiences

• Build strong working relationships with Product Managers, Designers, and Engineers to embed research into the digital product development lifecycle
• Work closely and collaboratively with other researchers to mature research practices and complete studies to show impact of data-informed decision…