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 policy to comply with all applicable laws respecting consideration of unemployment status in making hiring decisions.
- Equal Opportunity Employer
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