Marketing Science Analyst

What Do We Do?

Triple Whale is the complete intelligence platform that helps ecommerce brands confidently understand what's working in their business, what's not, and what they should do next.

We pull all your data into one place, give you the measurement tools to actually trust it, then use the smartest AI in the industry to translate it into insights and recommendations. From there, you get tools to put those insights to work — from AI agents that generate creative and take action on your behalf, to automations that make the rest of your tech stack smarter and more effective.

More than 60,000 brands like Pressed Juicery, Ouai and True Classic trust Triple Whale to grow faster with fewer resources — uncovering opportunities and acting on them at a scale that would be impossible manually.

What You're Applying for

As a Marketing Science Analyst on Triple Whale's Marketing Science team, you'll be a key operator within the Compass and Unified Measurement experience. This is a hands-on individual contributor role—you’ll dive deep into the data, build and execute analyses, and help translate measurement outputs into decisions that brands can act on.

This role exists because brands at scale ($50M–$500M+ revenue, complex omnichannel operations) don’t just need data—they need support turning measurement into decisions that hold up in the real world.

Reporting into our Marketing Science Lead, you’ll partner closely with a Marketing Data Scientist, who owns model configuration and statistical rigor for MMM and incrementality testing. Your focus will be supporting operator translation, analysis execution, and helping shape the measurement roadmap for each customer.

You’ll help deliver measurement strategy for a portfolio of Compass brands, from test design and MMM interpretation to attribution analysis and ongoing recommendations. You may also support select prospect conversations as a technical and analytical resource.

Sitting within Marketing Science, you’ll work cross-functionally with Product, Data Science, and CSM—helping bridge the gap between customer complexity and Triple Whale’s solutions.

What You’ll Do

Lead measurement strategy for Compass brands

• Own the full measurement conversation arc, from kickoff and test design through results interpretation and what-comes-next recommendations, for a portfolio of 8–9 figure brands
• Translate MMM, incrementality, and attribution model outputs into operator-native decisions: not "here's what the model says," but "here's what it means for your channel mix and your next budget call"
• Sequence tests intelligently across channels based on the brand's spend levels, organizational capacity, and the questions that actually matter to their business right now
• Interpret results for non-technical stakeholders: explain what a null result means, what 80% confidence does and doesn't authorize, and how an Amazon halo effect finding changes cross-channel thinking
• Help brands build a measurement roadmap over time, not just run one-off tests

Be the channel expert in the room

• Bring working knowledge of the channels these brands actually run, including Meta, Google, TikTok, YouTube, retail media, and AppLovin, with a clear understanding of what each platform reports, what it doesn't, and where platform-reported performance diverges from business reality
• Help brands with offline complexity (wholesale, retail, Amazon) think through measurement in contexts where digital-only frameworks don't cleanly apply
• Reframe the questions brands bring: not "is my Meta ROAS good?" but "are these campaigns driving incremental new