Senior Analyst, Enterprise Analytics

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.

What We Build

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.

These programs reflect a shared belief in high expectations, joyful rigor, and deep respect for educators and students.

Where We’re Headed

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.

Job Purpose

The Senior Data Analyst, Enterprise Analytics is responsible for leading the delivery of actionable insights that drive data-driven strategy and performance across the organization. This role owns the design and execution of complex, high-impact analytics initiatives, develops advanced analyses, and architects reusable assets to empower decision-making and operational excellence at scale. The Senior Data Analyst serves as a subject matter expert and thought partner to senior business stakeholders, ensuring analytics solutions are strategically aligned and forward-looking. This role also provides technical mentorship and guidance to analysts and non-expert users across the organization.

Responsibilities

The duties and responsibilities include, but are not limited to, the following:

• Partner with senior leadership to frame ambiguous business problems, shape the analytical approach, and deliver solutions that hold up under real decision-making pressure — including knowing when the right call is not to build something.

• Resolve conflicting metric definitions across departments and help establish shared business semantics that leadership can trust.

• Design and own semantic models and reporting frameworks that serve multiple departments at once, balancing performance, reusability, and governance rather than optimizing for a single team's request.

• Pull together information from systems that were never designed to talk to each other — CRM, ERP, marketing platforms, ad hoc files — and turn it into something durable rather than a one-off answer.

• Architect and maintain enterprise-level dashboards where long-term accuracy and maintainability matter as much as the initial insight.

• Document the reasoning behind analyses and metric logic well enough that someone else could pick up the work a year later.

• Set standards for how analytics work gets built and reused, raising the bar across the organization rather than just within this role.

• Mentor analysts and enable self-service users to build sound data products on their own.