[Hiring] Director, Marketing Analytics @The Princeton Review

Role Description

We're looking for a strategic analytics leader to own revenue metrics across the customer lifecycle—from acquisition through retention. This role is perfect for someone who loves understanding the complete customer journey, optimizing unit economics, and empowering teams with data-driven insights that directly impact company growth.

You'll report to our VP of Consumer Revenue and partner with marketing, sales, and customer success teams. You’ll have insights to lead cross-functional analytics that drive customer acquisition, conversion, and retention. This leader will own marketing analytics alongside sales funnel insights and customer lifetime value metrics. You'll translate complex data into actionable insights that directly impact our revenue and unit economics.

What You'll Do

• Analyze the Complete Revenue Picture
  • Track customer acquisition cost (CAC) and lifetime value (LTV) by channel
  • Understand which marketing channels drive the highest-quality leads and best ROI
  • Analyze sales funnel metrics and identify conversion bottlenecks
  • Identify retention drivers and churn patterns to improve LTV
• Build Revenue Analytics Infrastructure
  • Own marketing analytics, sales funnel reporting, and customer retention dashboards
  • Manage the marketing tech stack and integrations (Braze, Salesforce, tracking)
  • Establish consistent revenue metrics across all functions
  • Create executive reporting that enables fast, confident decisions
• Drive Revenue Insights & Optimization
  • Identify 5+ analytics-driven initiatives to improve unit economics
  • Calculate payback periods and ROI by channel
  • Recommend pricing, positioning, and retention strategies informed by data
  • Partner with marketing, sales, and customer success on data-driven initiatives
• Lead a High-Performing Analytics Team
  • Hire and develop 3–5 analytics professionals
  • Create career development paths and establish best practices
  • Align analytics across revenue functions

Qualifications

• 7–10+ years of analytics experience, with proven expertise in both marketing analytics and revenue metrics (CAC, LTV, retention)
• Comfortable diving deep into data while keeping business impact front and center
• Thrive in cross-functional environments and love translating data into decisions

Key Skills & Experience

• Strong SQL and data visualization (Tableau, Looker, PowerBI)
• Deep knowledge of marketing funnel, attribution, and channel analytics
• Expertise in SaaS metrics (CAC, LTV, cohort retention, churn, payback period)
• Hands-on experience with marketing technology (Braze, Salesforce, Google Tag Manager)
• Familiarity with sales funnel and CRM analytics
• Ability to analyze complex customer journeys across channels and touchpoints
• Proven ability to partner with non-technical stakeholders and drive adoption
• Leadership experience managing analytics teams

Nice to Have

• SaaS or subscription business background
• Experience with customer segmentation and cohort analysis
• Predictive analytics or forecasting experience
• Growth marketing or experimentation knowledge
• Data warehouse experience (Snowflake, Redshift, etc.)

What Success Looks Like

• Establish trusted revenue dashboards that marketing, sales, and customer success teams rely on daily
• Identify and help implement 5+ initiatives that improve unit economics
• Reduce manual reporting time by 50%, freeing up your team to focus on analysis and insight
• Be known as the leader who made data central to every revenue decision

Why You'll Love This Role

• Revenue Impact: Your work directly influences company growth and profitability
• Hybrid Scope: Analyze the complete customer lifecycle, not just one function
• Cross-Functional Leadership: Partner with marketing, sales, product, and finance leaders
• Business Criticality: Analytics inform every major decision across revenue functions
• Team Building: Hire and develop a diverse analytics team
• Remote Flexibility: Work from anywhere in the US with a fully distributed team

US Pay Range

$150,000 - $175,000 USD

Equal Opportunity Employer

The Princeton Review is an equal employment opportunity employer. The Princeton Review’s policy is not to discriminate against any applicant or employee based on, and all qualified applicants will receive consideration for employment without regard to, race, color, religion, national origin, sex, sexual orientation, gender identity or expression, age, marital status, disability, military status, genetic information, or any other basis protected by applicable law.