Senior Data Analyst

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Age of LearningEdTech
Our flexible work culture means 2 or more days in the office (hybrid) or 100% fully remote options available for most positionsFull-TimeSenior
Salary150,000 - 170,000 USD per year
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Job Details

Experience
6+ years
Required Skills
PythonSQLTableauLookerRData analytics

Requirements

  • 6+ years of experience in user-acquisition, growth, marketing, or data analytics.
  • Bachelor’s or Master’s degree in a quantitative field.
  • Experience analyzing paid search, paid social, display, affiliate, mobile, or connected television channels.
  • Proven 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, and visualization.
  • Experience with Business Intelligence (BI) tools such as Omni, Looker, or Tableau.
  • Ability to work independently and manage multiple priorities from problem definition to recommendation.
  • Strong written and verbal communication skills.

Responsibilities

  • Evaluate results across marketing channels, campaigns, and creatives to identify performance drivers and optimization opportunities.
  • Utilize LTV, CAC, payback period, and ROAS frameworks to assess customer value and guide investment allocation.
  • Apply attribution and incrementality testing techniques and support Marketing Mix Modeling (MMM) development.
  • Establish KPIs for acquisition volume, efficiency, and customer quality.
  • Proactively detect performance changes, investigate root causes, and communicate risks.
  • Develop self-service dashboards and automated reporting for business partners.
  • Define requirements and build scalable acquisition data models in collaboration with data engineering.
  • Present actionable recommendations to both technical and non-technical stakeholders.
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150,000 - 170,000 USD per year
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