Product Analyst (Mid to Senior Level)

Age of Learning, Inc. – Data and Analytics /
Full Time /
Company Overview:
Age of Learning® is the leading education technology innovator, creating engaging and effective learning resources to help children build a strong foundation for academic success and a lifelong love of learning. Our research-based digital education programs have proven efficacy in increasing children’s learning gains, and our curriculum is developed by an experienced team of education experts. Age of Learning’s flagship product,® Early Learning Academy, is an award-winning comprehensive curriculum for children.  Adventure Academy, a massively multiplayer online game (MMO), provides elementary-and middle-school-age learners the opportunity to build critical knowledge in language, arts, math, science, social studies, and more in a fun and safe virtual world. The company’s School Solutions Programs include My Math Academy® , an adaptive, personalized program that helps students master foundational math concepts, and My Reading Academy™, which helps young learners become fluent readers and build a foundation for reading comprehension and literacy. With over 10 billion learning activities completed by more than 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


We are seeking a rare breed of analytics powerhouse and business-savvy --- a pro-active, intellectually curious and entrepreneurial Product Analyst to lead, own and deliver in-depth analyses of large-scale data problems to influence numerous aspects of business performance. You will be an integral part of the Product Analytics team that supports our new School Solutions Programs, including our adaptive math and reading programs.  Contribution will come in the form of defining data capture requirements, verifying data integrity, data manipulation, business monitoring, data visualization and in-depth analyses. Your work will have a strong impact in influencing Product Management and Senior Executives through actionable business recommendations that ultimately help children learn!  


    • Partner closely with product stakeholders to solve key product challenges. 
    • Own product analyses to understand how user behavior impacts KPIs, such as user engagement and learning progress. 
    • Create, report and interpret key metrics to assess performance, measure the impact of strategic initiatives and identify ways to improve the student learning experience. 
    • Develop statistical analyses to understand customer behavior and product performance.  
    • Create beautiful and informative automated/real-time dashboards and visualizations. 
    • Drive A/B and multivariate testing strategy and implementation across desktop and mobile platforms to inform product strategy, engagement, retention, product and content recommendations and personalized experiences. 
    • Identify actionable insights that positively affect both company revenue and learning outcomes for children. 
    • Communicate results to technical and non-technical stakeholders. 
    • Drive data capture and data integrity requirements. Partner with product and engineering teams so that the right data is captured. 
    • Maintain a vigilant eye on data quality.

Required Qualifications:

    • 4+ years in an analytical/product focused role in a digital environment, experience working on games or educational apps a plus.
    • Must be able to understand and analyze data, synthesizing large volumes of data and complex questions into clear analyses and actionable findings.  
    • Fluent in complex SQL queries on big data sets 
    • Data transformation and modeling using dbt  
    • Fluent in Tableau and Excel. Additional data visualization capabilities a plus.  
    • Able to perform statistical analysis and create visualizations using R or Python. 
    • Experience with a/b testing a plus. 
    • Bachelor's degree in a quantitative field (such as analytics, statistics, applied math, data science, economics or computer science) from four-year college or university;  
    • OR a Bachelor’s degree in a non-quantitative field AND either a Master’s degree in a quantitative field. 
    • Curious, motivated, self-starter, collaborative, team player. 
    • Passionate about high quality, insightful data analysis. 
The estimated salary range for a new hire into this position is $120,000 USD to $150,000 USD. Salary may vary depending on job-related factors which may include 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 3-year anniversary), 11 observed national paid holidays plus 9 sick days
 • Our flexible work culture means 2 or more days in the office (hybrid) or 100% fully remote options available for most positions

Please Note:
We are aware that an unknown group is using our name to conduct employment scams. Emails coming from the domain “” are not legitimate and do not represent Age of Learning, Inc. If you have any concerns about the validity of any communications regarding employment with Age of Learning, Inc., please contact us at

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