Senior Data Analyst

Age of Learning; Glendale (CA); Hybrid; USD 150,000 - 170,000; Full time

Benefits offered by this job

Health benefits (employee premiums 91%

401(k) with employer match

Paid vacation 15 days (+3 on 3rd year)

National holidays 12

Sick days 9

Volunteer hours 16

Year-end closure 7 days

Hybrid/Remote options

Job summary

Age of Learning in United States seeks a Senior Data Analyst to support the User Acquisition team. You will analyze channel, campaign, audience, creative, and landing-page performance to identify opportunities for efficiency and growth.

You will develop and maintain Lifetime Value models and apply acquisition measurement frameworks, translating analyses into actionable recommendations guiding investment decisions.

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 TV, or similar 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 with large datasets.
• Proficiency in Python or R for statistical analysis, modeling, automation, and visualization.
• Experience with BI tools such as Omni, Looker, or Tableau.
• Experience with Snowflake, Git, or 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.

Responsibilities

• Analyze acquisition performance across channels, campaigns, audiences, creatives, devices, and landing pages.
• Apply acquisition measurement frameworks (LTV, CAC, payback, ROAS) to guide investment.
• Measure marketing effectiveness and support MMM capabilities.
• Define KPIs for acquisition volume, efficiency, quality, and long-term value.
• Identify opportunities, investigate root causes, and communicate risks.
• Build self-service dashboards and automated reporting for partners.
• Collaborate with User Acquisition and Data Engineering to define requirements and data models.
• Present clear, actionable insights to stakeholders.

Skills

SQL

Python or R

BI tools

Snowflake

Git

Data modeling

Education

Bachelor's or Master's in a quantitative field

Tools

dbt

Omni

Looker

Tableau

Job description

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 companyâs 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 areseekinga 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 toidentifyopportunities 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 toidentifyperformance 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:EstablishKey Performance Indicators (KPIs) foracquisitionvolume, efficiency, customer quality, and long-term value.
• Identifyopportunities: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.
• Bachelorâs or Masterâsdegree 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 relatedmarketing-measurementmethods.
• Advanced SQL skills and experience working with large datasets.
• Proficiencyin 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.

Salary and Compensation

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—$170,000 USD

Benefits

• 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)
• 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 â 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 â 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 âCompanyâ) 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 âCompanyâ) 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.