Senior Analyst, Enterprise Analytics

🕒 September 21

🏛️ District of Columbia – Remote

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💵 $90k - $100k / year

⏰ Full Time

🟠 Senior

🧐 Analyst

👻 Ghost score 10%

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Logo of Great Minds

Great Minds

1001 - 5000 employees

Founded 2007

📚 Education

Education

Great Minds is an educational company dedicated to developing high-quality instructional materials for students and teachers. It offers comprehensive curricula in mathematics, English language arts, and science, designed to build deep and enduring knowledge. Great Minds' products, such as the Eureka Math², Wit & Wisdom, and PhD Science, aim to advance equity in classrooms by engaging all learners. The company supports educators with professional learning resources and customizable teaching materials that align with state standards and focus on building essential skills and knowledge. Great Minds is committed to making educational opportunities accessible to every student and provides resources to help educators tailor instruction to meet diverse classroom needs.

📋 Description

• Partner with senior leadership to frame ambiguous business problems and shape analytical approaches • Deliver actionable insights supporting data-driven strategy and organizational performance • Resolve conflicting metric definitions and establish shared business semantics • Design and own reusable semantic models and reporting frameworks across departments • Integrate data from CRM, ERP, marketing platforms, and ad hoc files • Architect and maintain enterprise-level dashboards • Document analytical reasoning and metric logic for long-term reuse • Establish standards for building and reusing analytics work • Mentor analysts and enable self-service users to build sound data products

🎯 Requirements

• 4+ years of experience in analytics, analytics engineering, or data-focused roles, with accountability for analytics deliverables from framing through delivery • Advanced hands-on fluency with a cloud data warehouse such as Snowflake, Databricks, or BigQuery, including complex query work and performance tuning • Experience with cloud platforms; Azure preferred and AWS relevant • Python proficiency for manipulating, analyzing, and visualizing data • Experience designing and maintaining semantic models or metric layers for multiple audiences • Knowledge of dimensional modeling concepts including star schemas and slowly changing dimensions • Experience applying software engineering practices to analytics, including version control, code review, modularity, and documentation • Experience reconciling CRM, ERP, and marketing platforms • Experience building data validation checks • Ability to scope vague stakeholder requests into projects and communicate results effectively • Experience mentoring others or establishing durable standards • Bachelor's degree in Analytics, Data Science, Business, or a related quantitative discipline • New employees must successfully complete a background check • Cover letter and resume required • Must be legally authorized to work in the United States; visa sponsorship requirements may apply

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