Director, Marketing Analytics

6 hours, 8 minutes ago
Full-time
Executive
Data Science and Analytics
The Princeton Review

The Princeton Review

The Princeton Review specializes in providing comprehensive online test preparation and tutoring services for a variety of standardized exams, including the SAT, ACT, and graduate school entrance tests, helping students achieve their academic and caree...

Diversified Consumer Services
1001-5000
Founded 1981

Description

  • Track CAC, LTV, ROI, payback periods, retention, churn, and sales-funnel performance by channel.
  • Identify high-quality lead sources, conversion bottlenecks, retention drivers, and opportunities to improve unit economics.
  • Own marketing analytics, sales-funnel reporting, customer-retention dashboards, and executive reporting.
  • Manage the marketing technology stack and integrations, including Braze, Salesforce, and tracking tools.
  • Establish consistent revenue metrics across marketing, sales, and customer success functions.
  • Recommend data-informed pricing, positioning, channel, and retention strategies.
  • Partner with marketing, sales, customer success, product, and finance leaders on revenue initiatives.
  • Identify and help implement at least five analytics-driven initiatives to improve unit economics.
  • Hire, develop, and establish career paths and best practices for a team of 3–5 analytics professionals.
  • Reduce manual reporting and make analytics central to revenue decision-making.

Requirements

  • 7–10+ years of analytics experience, including marketing analytics and revenue metrics.
  • Strong SQL and data-visualization skills with Tableau, Looker, or Power BI.
  • Deep knowledge of marketing funnels, attribution, channel analytics, and customer journeys.
  • Expertise in SaaS metrics, including CAC, LTV, cohort retention, churn, and payback period.
  • Hands-on experience with marketing technology such as Braze, Salesforce, and Google Tag Manager.
  • Experience with sales-funnel and CRM analytics.
  • Ability to translate complex data into actionable recommendations for non-technical stakeholders.
  • Leadership experience managing analytics teams.
  • SaaS or subscription-business experience (preferred).
  • Experience with customer segmentation, cohort analysis, predictive analytics, forecasting, growth marketing, experimentation, or data warehouses such as Snowflake or Redshift (preferred).

Benefits

  • Competitive salary commensurate with experience and skills.
  • US pay range of $150,000–$175,000.
  • Remote flexibility to work from anywhere in the United States with a fully distributed team.
  • Opportunity to build and develop an analytics team.

Interested in this position?

Apply directly on the company website

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