Marketing Analyst

Suno Suno · Multimodal · New York, NY · Data

Marketing Analyst role focused on driving acquisition decisions through data analysis, experiment design, and attribution modeling. The role involves analyzing marketing channel performance, creative effectiveness, and subscriber economics to optimize marketing spend and strategy. It requires strong SQL skills and experience in marketing analytics, with a focus on ownership and clear communication of insights.

What you'd actually do

  1. Run marketing experiments – Design and analyze A/B tests and incrementality tests to figure out which channels actually drive growth (not just which ones get the last click).
  2. Own attribution modeling – Build and maintain multi-touch attribution that reflects the real customer journey. You'll challenge platform-reported numbers and reconcile discrepancies until we have a model we can trust.
  3. Keep our data clean – Be the person who makes sure our marketing spend data is accurate. When someone asks "is this CAC number right?" you'll know the answer and how to fix it if it's not.
  4. Analyze creative performance fast – Our creative team iterates quickly. You'll help them understand what's resonating (and what's not) so they can double down on what works.
  5. Analyze subscriber economics – Monitor LTV, retention, and payback periods by cohort, channel, and country. Help us understand the unit economics that drive our business.

Skills

Required

  • 2-4 years doing marketing or growth analytics
  • Strong SQL skills
  • Experiment design experience
  • Clear communication
  • Ownership mentality

Nice to have

  • Experience building custom attribution models or working with attribution tools
  • Background in consumer subscription businesses
  • Familiarity with mixed media modeling (MMM)
  • Python or R skills for statistical analysis
  • Knowledge of paid social and paid search platform APIs
  • Genuine interest in what makes creative content perform

What the JD emphasized

  • marketing analytics
  • attribution modeling
  • experiment design
  • subscriber economics
  • ownership mentality
  • data quality