Director, Marketing Analytics

About The Princeton Review   The Princeton Review is a leading tutoring, test prep, and college admission services company. Every year, it helps millions of college- and graduate school–bound students achieve their education and career goals through online and in-person courses delivered by a network of more than 4,000 teachers and tutors, online resources, and its more than 150 print and digital books published by Penguin Random House. The company’s  Tutor.com  brand is one of the largest online tutoring services in the U.S. It comprises a community of thousands of tutors who have delivered more than 22 million one-to-one tutoring sessions. The Princeton Review is headquartered in New York, NY. Follow the company on  LinkedIn ,  YouTube  and  Instagram .  About the Position    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. You'll blend marketing analytics rigor with sales funnel insights and customer lifetime value optimization.   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   Who You Are     You have 7–10+ years of analytics experience, with proven expertise in both marketing analytics and revenue metrics (CAC, LTV, retention). You're comfortable diving deep into data while keeping business impact front and center. You 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   In your first year, you'll establish trusted revenue dashboards that marketing, sales, and customer success teams rely on daily. You'll identify and help implement 5+ initiatives that improve unit economics—whether through better channel targeting, faster sales cycles, or improved retention. You'll reduce manual reporting time by 50%, freeing up your team to focus on analysis and insight. Most importantly, you'll 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   The Princeton Review and Tutor.com offer a competitive salary which commensurates with experience and skills.  US Pay Range $150,000 — $175,000 USD 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. The Princeton Review also prohibits harassment of applicants or employees based on any of these protected categories. It is also The Princeton Review’s p