Senior Data Analyst, User Acquisition

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 Key Performance Indicators (KPIs) for acquisition volume, efficiency, customer quality, and long-term value.
• Identify opportunities: Proactively detect performance changes, investigate root causes, and communicate risks and opportunities.
• Build reporting tools: Create self-service dashboards and automated reporting for business partners.
• Partner on data development: Work with User Acquisition and Data Engineering to define requirements and build scalable acquisition data models.
• Communicate insights: Present clear, actionable recommendations to technical and nontechnical stakeholders.

Minimum Qualifications

• 6+ years of experience in user-acquisition, growth, marketing, or data analytics.
• Bachelor’s or Master’s degree in a quantitative field.
• Strong experience analyzing paid search, paid social, display, affiliate, mobile, connected television, or similar acquisition channels.
• Experience developing LTV, CAC, payback period, and ROAS models.
• Experience with attribution, incrementality testing, or related marketing-measurement methods.
• Advanced SQL skills and experience working with large datasets.
• Proficiency in Python or R for statistical analysis, modeling, automation, and visualization.
• Experience with Business Intelligence (BI) tools such as Omni, Looker, or Tableau.
• Experience with Snowflake, Git, or data build tool (dbt) is a plus.
• Ability to work independently, manage multiple priorities, and take projects from problem definition through recommendation.
• Strong written and verbal communication skills.

The estimated salary range for a new hire in this position is below. Salary may vary depending on job-related factors, including knowledge, skills, experience, and location.

Total Compensation:: $150,000 USD - $170,000 USD

Age Of Learning Currently Provides

• 91% of employee health and welfare benefits premiums & 70% of dependent benefits premiums
• A 401(k) program with employer match
• 15 paid vacation days (increases to 20 days on your 3rd anniversary), 12 observed national paid holidays, 9 sick days, and 16 paid volunteer hours per year
• 7 paid days for company-wide year end closure (includes 3 observed paid holidays)

Security Advisory

At Age of Learning, we prioritize a safe recruitment process. Communication will come solely from official Age of Learning email addresses, @aofl.com, or our verified LinkedIn Recruiter accounts — be cautious of deviations. We will never request sensitive personal information during the early application stages. Interviews are conducted via phone, in person, or Zoom — never through messaging apps. Job offers are communicated verbally and followed by written documentation via DocuSign. Any requests for personal information will occur through secure channels only.

An Equal Opportunity Employer

Age of Learning, Inc. (the “Company”) is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, gender expression, age, physical or mental disability, medical condition, pregnancy, veteran or military status, marital status, sexual orientation, gender identity, domestic partner status, genetic information, or any other legally-recognized protected basis under federal, state, or local laws, regulations, or ordinances. Age of Learning, Inc. (the “Company”) will consider qualified applicants with criminal histories pursuant to EEOC requirements and state applicable laws, e.g. New York City Fair Chance Act.

Employee/Applicant Privacy Notice

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.