Fast Facts

Age of Learning is seeking a Data Analyst to enhance their SEO strategy and improve organic growth, user engagement, and conversion rates. This role involves the application of data analytics, SEO best practices, and data engineering to inform decision-making and optimize customer journeys.

Responsibilities: The primary responsibilities include analyzing user behavior, conducting A/B testing, developing KPIs, integrating multiple data sources via ETL pipelines, and implementing technical SEO strategies.

Skills: Key required skills include proficiency in SQL, Python or R, experience with ETL pipeline construction, statistical analysis, and knowledge of SEO tools like Google Analytics and SEMrush.

Qualifications: Preferred qualifications include advanced knowledge of schema markup, experience with large-scale websites, and certifications in SEO or Google Analytics.

Location: This position can be performed fully remote or in a hybrid model with some office days required.

Compensation: $80000 - $115000 / Annually

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 looking for a data-driven Analyst with a growth mindset to help shape and execute our evolving SEO strategy. Reporting to the Head of SEO and working closely with the Content and Product teams, you will bridge the gap between technical SEO, data analytics, and product optimization. This role requires someone who is curious, adaptable, and always looking for innovative ways to drive organic growth, enhance user engagement, and leverage data engineering to create scalable solutions.

You will develop and analyze key performance metrics, conduct A/B and multivariate testing, and implement technical SEO best practices to improve search performance, user retention, and conversion rates. Additionally, you will build and maintain ETL pipelines, integrate multiple data sources, and provide real-time insights to inform strategic decisions. We are looking for someone who embraces experimentation, continuously iterates on SEO strategies, and proactively seeks opportunities to optimize and scale impact.

Responsibilities:

Analytics:
Partner with stakeholders to optimize customer journeys, subscription flows, and engagement metrics.
Drive A/B and multivariate testing initiatives across desktop and mobile platforms.
Develop and monitor KPIs to measure product success and growth globally.
Analyze user behavior and product performance, translating findings into actionable insights.
Design real-time dashboards and visualizations to empower teams with critical data.
SEO Integration:
Conduct keyword research and intent mapping to align product and content strategies with user needs.
Develop technical SEO strategies, including structured data implementation and site architecture optimization.
Monitor and analyze organic search performance, leveraging tools like Google Analytics, SEMrush, and Search Console.
Design and implement SEO-focused A/B tests to enhance user experience and conversions.
Stay informed on search engine algorithm updates and adapt strategies accordingly.
Data Engineering & Reporting:
Build and maintain ETL pipelines to integrate data from multiple sources into dashboards.
Utilize APIs for data extraction, enabling real-time SEO and product analysis.
Perform statistical analyses and predictive modeling to support traffic and revenue forecasts.

Minimum Qualifications:

3+ years of experience in data analysis, with a proven track record of driving organic growth.
Experience building and maintaining ETL pipelines and working with APIs for data extraction and integration.
Must have a strong growth mindset and a passion for SEO, with a willingness to learn, experiment, and adapt in a fast-paced environment.
Proficiency in SQL, Python, or R for data manipulation, analysis, and automation.
Expertise in predictive modeling, forecasting, and statistical analysis.
Experience with A/B testing tools and CRO frameworks.
Proficiency in data visualization tools such as Looker Studio, Tableau, or Power BI.
Deep understanding of technical SEO, keyword intent mapping, and content optimization.
Familiarity with SEO tools like Google Analytics, Google Search Console, SEMrush, and Screaming Frog.

Preferred Qualifications:

Experience in SEO is preferred, but a strong growth mindset and the ability to learn and adapt are essential.
Advanced knowledge of schema markup and structured data.
Familiarity with AI/ML tools like ChatGPT for content optimization and trend prediction.
Certification in SEO, Google Analytics, or related fields.
Experience managing SEO for large-scale or content-heavy websites.

Total Compensation:

The estimated salary range for a new hire in this position is $80,000 USD to $115,000 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

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