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Triple Whale

Shopify-focused e-commerce data analytics platform

Marketing Scientist

Performance & Paid MarketingConfirmed live in the last 24 hours
Full-timeRemote in UKNo salary listedRemote

About the Job

Requirements

  • At least 5 years of experience running or closely overseeing paid media across Meta, Google, TikTok, or similar platforms at meaningful scale.
  • Understand the differences among last-click attribution, multi-touch attribution, marketing mix modeling, and incrementality testing, including which questions each method answers.
  • Explain test confidence, null results, and attribution gaps in plain language, and triangulate the different measurement approaches to develop recommendations.
  • Understand paid-platform mechanics, attribution windows, reporting gaps, and how the platforms perform and where they systematically fall short.
  • Understand marketing across direct-to-consumer, Amazon, wholesale, and retail, including the attribution challenges of these channels and the limits of digital-only measurement frameworks for businesses with offline complexity.
  • Communicate effectively with chief financial officers, chief marketing officers, and media buyers, adjusting the depth and framing to the audience and delivering difficult findings while maintaining relationships.
  • Have experience evaluating or acting on incrementality test results, such as GeoLift, holdout, or synthetic control, where findings informed a real budget decision.
  • Have operator experience accountable for marketing performance at a brand with meaningful revenue, including making budget decisions with imperfect data and defending channel spend to a chief financial officer.
  • Be comfortable operating while the playbook is being built and attuned alongside delivery.

Responsibilities

  • Own the full measurement journey for a portfolio of brands with 8–9 figure revenue, from kickoff and test design through results interpretation and next-step recommendations.
  • Build and translate marketing mix models, incrementality tests, and attribution outputs into decisions about channel mix, budget allocation, and growth strategy.
  • Design and sequence measurement strategies based on each brand’s media mix, investment levels, business goals, and highest-priority questions.
  • Make complex measurement findings actionable for non-technical stakeholders, including confidence levels, null results, halo effects, and cross-channel implications.
  • Apply working knowledge across Meta, Google, TikTok, YouTube, connected TV, out-of-home, linear television, retail, AppLovin, and other key channels.
  • Help brands understand where platform-reported performance differs from true incremental business impact, including in complex omnichannel businesses with wholesale, retail, and Amazon.
  • Reframe channel-level questions into broader strategic decisions about incrementality, customer acquisition, and budget allocation.
  • Join high-value prospect conversations as a measurement subject matter expert, bringing operator credibility and translating Triple Whale’s capabilities into each brand’s operational reality.
  • Identify recurring customer challenges and provide actionable feedback to Product, distinguishing product gaps from education or operator-context gaps.
  • Bring real-world customer context, including the organizational complexity brands face when acting on measurement insights, into product decisions.
  • Partner cross-functionally with Product, Data Science, and Customer Success Management to bridge customer complexity and Triple Whale’s solutions.
  • Support select prospective client conversations as a Marketing Science resource.

About the Company

Triple Whale

Shopify-focused e-commerce data analytics platform

Triple Whale provides a data analytics platform for direct-to-consumer brands on Shopify. It aggregates data from Shopify, Facebook, Google Analytics, and TikTok into a single real-time dashboard, featuring the Triple Pixel for first-party tracking and AI-powered Moby Agents that automate attribution, performance monitoring, and insights across acquisition, conversion, and retention. It also includes inventory forecasting and customer journey analysis to optimize ad spend and improve lifetime value. The platform differentiates itself by prioritizing first-party data, automated AI insights, and an all-in-one suite for attribution, inventory planning, and customer analytics, with revenue-driven subscription plans that include agency partnerships.

Company size
201-500
Company stage
Series B
Total funding
$55.1M
Headquarters
Columbus, OH
Founded
2021

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