Senior Analyst, Enterprise Analytics

Great Minds; Washington (District of Columbia); Remote; USD 90,000 - 100,000; Full time

Job summary

Great Minds is seeking a Senior Data Analyst, Enterprise Analytics to lead actionable insights across the organization, designing complex analytics initiatives and reusable assets that empower decision-making at scale.

You'll partner with senior leaders, own semantic models and dashboards, mentor analysts, and help establish data governance while aligning analytics with our mission to support educators and students.

Qualifications

• 4+ years of analytics, analytics engineering, or data-focused roles with real accountability.
• Advanced fluency with a cloud data warehouse (Snowflake, Databricks, BigQuery) on a cloud platform (Azure preferred).
• Comfort using code, not just point-and-click tools, to manipulate, analyze, and visualize data (Python).
• Experience designing and maintaining a semantic model or metric layer serving multiple audiences with different needs.
• Experience bringing software engineering discipline to analytics (version control, code review, modular/documented work).
• Experience reconciling messy, overlapping systems of record (CRM, ERP, marketing platforms).
• Experience building validation checks after data quality issues.
• Track record turning vague asks into scoped projects and communicating results to stakeholders.
• Experience mentoring others or setting enduring standards.

Responsibilities

• Partner with senior leadership to frame ambiguous business problems, shape analytical approach, and deliver solutions.
• Resolve conflicting metric definitions across departments and establish shared semantics.
• Design and own semantic models and reporting frameworks for multiple departments.
• Integrate data from CRM, ERP, marketing platforms, creating durable solutions.
• Architect and maintain enterprise dashboards prioritizing long-term accuracy.
• Document reasoning and metric logic for future handoffs.
• Set standards for analytics work and promote reusability across the org.
• Mentor analysts and enable self-service data product creation.

Skills

4+ years analytics experience

Python

SQL / Data querying

Cloud data warehouse

Data modeling / semantic layer

Data quality checks

Version control / code reviews

Mentoring / leadership

Education

Bachelor's degree in Analytics/Data Science/Business

Tools

Snowflake

Databricks

BigQuery

Python

Job description

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.

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.

Requirements

• 4+ years of experience in analytics, analytics engineering, or data-focused roles, with real accountability for analytics deliverables from framing through delivery — not just executing tickets.
• Advanced, hands‑on fluency with a cloud data warehouse (Snowflake, Databricks, BigQuery, or similar), including complex query work and performance tuning, running on a cloud platform — Azure preferred, AWS also relevant.
• Comfort using code, not just point-and-click tools, to manipulate, analyze, and visualize data (Python).
• Real experience designing and maintaining a semantic model or metric layer that had to serve more than one audience with different — sometimes conflicting — needs, including dimensional modeling concepts as…<…> (complete text as per original).
• Experience bringing basic software engineering discipline (version control, code review, modular and documented work) to analytics, which is too often treated casually.
• Experience reconciling messy, overlapping systems of record such as CRM, ERP, and marketing platforms.
• Experience building validation checks after having been burned by a silent data quality failure before.
• A track record of turning a vague ask from a senior stakeholder into a scoped project, and communicating results in terms that land with that audience.
• Experience mentoring others or setting standards that outlasted your own involvement.

Preferred Qualifications

• Interest in K-12 public education and how data moves from a district leader's dashboard down to a classroom‑level decision.
• Exposure to AWS as a secondary cloud environment alongside Azure.
• Familiarity with advanced analytics techniques such as forecasting, segmentation, or scenario modeling.
• Familiarity with data modeling and pipeline concepts (star/snowflake schema, entity‑relationship modeling, ETL/ELT).
• Experience helping stand up or mature an analytics function, rather than only working within an established one.

Required Education

• Bachelor's degree in Analytics, Data Science, Business, or a related quantitative discipline.

Status

Full-time

Location

Remote

The expected base salary range for this position is $90,000-$100,000, 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.

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 [e-mail]

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.