Manager, Enterprise Analytics

Great MindsWashington, DC
1d$104,000 - $114,000Remote

About The Position

The Manager, Enterprise Analytics is a hands-on leader responsible for building and advancing analytics capabilities that drive data-informed strategy and performance across the organization. This role oversees the design and execution of complex enterprise-wide analytics initiatives, with direct responsibility for leading a small team of analysts and delivering actionable insights. The Manager partners with stakeholders to ensure analytics solutions empower decision-making and operational excellence.

Requirements

  • 7+ years of experience in analytics or data-focused roles, with at least 3 years in a leadership or management capacity.
  • Proven expertise in business intelligence tools, data modeling, and statistical analysis.
  • Hands-on experience with Power BI, SQL, and Python.
  • Technical expertise in data visualization, dashboard development, and analytics automation.
  • Strong ability to communicate complex analytical concepts to senior leaders and stakeholders.
  • Excellent time management skills and ability to balance competing demands.
  • Commitment to excellence and a high level of integrity.
  • Interest in K-12 public education, and an understanding of how data is and can be used to drive change from leadership all the way to the classroom
  • Bachelor’s or Master’s degree in Analytics, Data Science, Business, or a related quantitative discipline.

Nice To Haves

  • Experience with CRM, ERP, and marketing analytics systems.
  • Familiarity with advanced analytics techniques (e.g., forecasting, segmentation, scenario modeling).
  • Experience developing learner analytics systems for both internal and external use

Responsibilities

  • Stand-up a high-performing team of analysts, fostering a collaborative and growth-oriented environment.
  • Develop and implement analytics strategies aligned with organizational objectives and business needs.
  • Deliver advanced analyses, scenario modeling, and custom reporting to support leadership decisions and operational improvements.
  • Establish and maintain systems and routines for monitoring key performance indicators (KPIs) at team and individual levels.
  • Build and maintain enterprise-level performance dashboards.
  • Create reusable assets including data models and visualization templates to support in-function analytics across the organization.
  • Partner with business stakeholders to align analytics initiatives with strategic objectives and build in-function capabilities.
  • Advance team and enterprise capabilities in analytics tools such as Power BI, SQL, Python, and Snowflake, and promote continuous learning and adoption of best practices.
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