The role involves analyzing subscription performance, developing forecasting models, creating automated reporting tools, and translating complex data into actionable insights for strategic decisions.
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 Data Analyst to support the Finance, Strategy, and Executive teams. In this role, you will partner closely with leaders across the organization to analyze subscription performance, unit economics, and operational efficiency, and to inform strategic and financial decision-making.
You will lead analyses across payments, cash receipts, subscription retention, pricing, and customer lifetime value; develop scalable forecasting and reporting frameworks; and build self-serve analytics tools that enable stakeholders to monitor performance and evaluate trade-offs. You will translate complex subscription data into clear, actionable insights that guide planning, strategic decisions, and execution in a fast-paced, metrics-driven environment.
Responsibilities:
- Analyze subscription performance and economics: Conduct deep-dive analyses of subscriber acquisition, conversion, retention, and churn to understand and improve the health of the subscription business.
- Forecasting and planning: Build and maintain forecasting models for subscribers, cash, and revenue to support strategic planning.
- Define and track success metrics: Establish and refine KPIs that measure the health of the subscription business and define success for the company.
- Build self-serve reporting tools and dashboard: Create and maintain automated dashboards and reporting tools that enable business partners to monitor business health and explore data independently.
- Translate data into insights: Synthesize complex analyses into clear, actionable insights and recommendations that inform leadership decisions and improve revenue growth, retention, and profitability.
- Communicate findings clearly: Present results and recommendations to a broad range of stakeholders in a concise, compelling, and accessible way.
- Influence business reviews: Shape weekly and monthly business reviews with executive stakeholders, ensuring the right metrics and insights inform decisions on growth, retention, and profitability.
Minimum Qualifications:
- Experience: 6+ years of experience in a product analytics, data analytics, or related role supporting subscription-based businesses.
- 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; experience with forecasting, cohort analysis, or financial modeling is a plus.
- 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
Dbt
Lightdash
Looker
Omni
Python
R
SQL
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