The role involves designing and analyzing A/B tests, conducting exploratory analyses, applying statistical techniques, building dashboards, and communicating insights to stakeholders.
Company Overview:
Age of Learning® is the leading developer of engaging and effective Pre-K through 5th 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.com® Early Learning Academy and Adventure Academy™, as well as the adaptive, personalized school solutions, My Math Academy®, My Reading Academy®, and My Reading Academy Español. Having served over 50 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 www.AgeofLearning.com.
Summary:
We are seeking a proactive, intellectually curious Product Analyst to help drive the success of our consumer products, including ABCmouse and Adventure Academy. Partnering closely with Product Managers and two other Product Analysts, you will design and analyze A/B tests to inform product launch and iteration decisions, conduct deep-dive exploratory analyses, and apply statistical and data science techniques to understand and predict key customer behaviors such as subscription conversion, engagement, retention, and churn. You will build and maintain dashboards and self-serve data tools that enable Product Managers and business partners to explore metrics independently, and translate complex analyses into clear, actionable insights that improve conversion, engagement, and learning outcomes for children.
Responsibilities:
- Design and analyze experiments: Lead A/B testing across desktop and mobile platforms to inform product launches and iterations.
- Analyze customer behavior: Conduct deep-dive exploratory analyses to understand how customers subscribe, pay, engage, retain, and churn.
- Apply statistical and data science techniques: Use statistical methods and analytical modeling to evaluate product performance and understand customer behavior.
- Define and track success metrics: Establish and refine KPIs that guide product iteration and define success for the company.
- Build self-serve reporting and dashboards: Create and maintain automated dashboards and reporting tools that enable Product Managers and business partners to monitor product and business performance independently.
- Translate data into insights: Synthesize complex analyses into clear, actionable insights that drive improvements in conversion, engagement, retention, and learning outcomes.
- Communicate findings clearly: Present results and recommendations to a broad range of stakeholders in a concise, compelling, and accessible way.
Minimum Qualifications:
- Experience: 6+ years of experience in a product analytics, data analytics, or related role supporting large-scale digital products. Experience in games, edtech, or subscription-based businesses is a plus.
- Experimentation: Strong experience designing, executing, and analyzing A/B tests to inform product decisions.
- Exploratory analysis: Ability to conduct exploratory data analyses and synthesize complex datasets and ambiguous questions into clear, actionable insights.
- Technical skills: Advanced proficiency in SQL for querying large datasets; experience with data transformation and modeling (e.g., dbt) is a plus. Extensive experience with a BI tool such as Omni, Looker, or Lightdash.
- Statistical analysis: Ability to perform statistical analyses and create visualizations using R or Python.
- Education: Bachelor’s or Master’s degree in a quantitative field (e.g., statistics, applied math, data science, economics, computer science, or related discipline).
- Mindset & collaboration: Curious, motivated self-starter who thrives in a collaborative, high-performing environment and values high-quality, thoughtful analysis.
Total Compensation:
The estimated salary range for a new hire in this position is $150,000 USD to $170,000 USD. Salary may vary depending on job-related factors, including knowledge, skills, experience, and location.
Age of Learning currently provides:
• 90% of employee health and welfare benefits premiums & 65% 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
• Our flexible work culture means 2 or more days in the office (hybrid) or 100% fully remote options available for most positions
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
Top Skills
Bi Tools (Omni
Lightdash)
Looker
Python
R
SQL
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