Senior Data Analyst

Age of Learning

Senior Data Analyst in the User Acquisition team analyzing marketing effectiveness for Age of Learning. Partnering with cross-functional teams to improve customer acquisition strategies and investment decisions.

Posted 7/29/2026full-timeGlendale • California • 🇺🇸 United StatesSenior💰 $150,000 - $170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in user acquisition analysis, leveraging advanced SQL and programming skills in Python or R for data-driven decision-making. Proficient in developing and applying marketing measurement frameworks, including LTV, CAC, and ROAS, to optimize acquisition strategies.

Highest-signal resume keywords

User Acquisition AnalysisLifetime Value (LTV) ModelingCustomer Acquisition Cost (CAC) AssessmentAdvanced SQL SkillsBusiness Intelligence (BI) Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsAttribution TechniquesIncrementality TestingMarketing Mix Modeling (MMM)Statistical AnalysisData VisualizationPerformance Metrics DefinitionOptimization StrategiesAutomated ReportingDashboard Creation

Soft Skills

Strong Communication SkillsIndependent WorkProject Management

Tools & Technologies

PythonROmniLookerTableauSnowflakeGitData Build Tool (dbt)

Industry Keywords

User AcquisitionGrowth MarketingPaid SearchPaid SocialDisplay AdvertisingAffiliate MarketingMobile AdvertisingConnected Television

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Analyze acquisition performance: Evaluate results across channels, campaigns, audiences, creatives, devices, and landing pages to identify performance 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: Establish Key Performance Indicators (KPIs) for acquisition volume, efficiency, customer quality, and long-term value.
Identify opportunities: 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.

Requirements

What you’ll need

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 television, or similar acquisition 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 working with large datasets.
Proficiency in 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.

Benefits

Comp & perks

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