Senior Data Analyst, User Acquisition

About this role

Company Overview:

Age of Learning® is the leading developer of engaging and effective Pre-K through 2nd grade learning resources that help children build a strong foundation for academic success and a lifelong love of learning. The company’s research-based curriculum, developed by education experts, includes the award-winning programs ABCmouse®, Adventure Academy®, as well as the adaptive, personalized school solutions, My Math Academy®, My Reading Academy®, and My Reading Academy Español®. Having served over 55 million children worldwide, Age of Learning is a global leader in efforts to advance equity, access, and opportunity for all children. To learn more about Age of Learning, visit AgeofLearning.com.

Summary:

We are seeking a proactive, intellectually curious Senior Data Analyst to support our User Acquisition team.

Partnering closely with User Acquisition, Marketing, Data Engineering, and other analytics partners, you will analyze channel, campaign, audience, creative, and landing-page performance to identify opportunities that improve customer acquisition and marketing efficiency.

You will evaluate both short-term conversion and long-term customer value and translate complex analyses into clear, actionable recommendations that guide acquisition strategy and investment decisions. To support this work, you will develop, maintain, and enhance Lifetime Value (LTV) models and apply a strong understanding of the broader acquisition measurement framework, including Customer Acquisition Cost (CAC), payback period, and Return on Advertising Spend (ROAS).

Responsibilities:

• Analyze acquisition performance: Evaluate results across channels, campaigns, audiences, creatives, devices, and landing pages to identify performance drivers, trends, and optimization opportunities.

• Apply acquisition measurement frameworks: Use Lifetime Value (LTV), Customer Acquisition Cost (CAC), payback period, and Return on Advertising Spend (ROAS) to assess customer value, compare acquisition efficiency, and guide investment allocation.

• Measure marketing effectiveness: Apply attribution, incrementality testing techniques, and support the development of Marketing Mix Modeling (MMM) capabilities.

• Define success metrics: Establish