Principal Data Analyst

HubSpot
•$152,200 - $243,500

About The Position

As Principal, Marketing Measurement, you will lead the evolution of HubSpot’s marketing measurement and investment optimization. You will build the measurement infrastructure and decision-making framework that supports confident capital allocation across organic, paid, owned, and earned channels. The role combines marketing mix modeling, incrementality testing, attribution, and predictive forecasting into a unified capability serving Marketing and Finance. You will work cross-functionally with Marketing, Finance, Data Science, Engineering, and Product to understand what drives incremental growth and turn analytical findings into investment decisions. This high-visibility role requires deep measurement expertise and the strategic ability to connect analytical rigor to business decisions.

Requirements

  • 10+ years in marketing analytics or marketing data science.
  • Deep understanding of marketing strategy and how it is developed and executed to inform the appropriate measurement approach.
  • Deep expertise in Marketing Mix Modeling and incrementality testing, including hands-on experience building or operationalizing these capabilities and connecting outputs to capital allocation decisions.
  • Experience building predictive LTV models and multi-horizon revenue forecasting that connect leading marketing indicators to expected downstream revenue outcomes.
  • Experience building or implementing multi-touch attribution models to measure impact across a B2B SaaS buyer’s journey.
  • Track record of building trusted Finance partnerships and developing shared measurement frameworks that drive budget decisions.
  • Strong technical fluency, including the ability to design experiments, validate data science outputs, and direct execution teams effectively.
  • Experience with modern multi-touch attribution across paid, owned, and earned channels, including view-based and buying-group-level measurement.
  • Excellent executive communication skills and ability to translate complex causal findings into clear investment recommendations for non-technical stakeholders.

Nice To Haves

  • Marketing measurement and leadership experience at a B2B SaaS or high-growth technology company.
  • Data science background.
  • Experience with Brand and LLM/AEO/GEO measurement techniques and attribution.
  • Background in or close partnership with paid media strategy and bidding optimization.
  • Experience evaluating and managing external measurement vendors, such as MMM platforms, incrementality tools, or LTV providers.
  • Familiarity with B2B buying-group measurement across complex, multi-stakeholder sales cycles.

Responsibilities

  • Own and evolve the marketing measurement framework across organic, paid, owned, Brand, LLM/AEO, media/creators, and earned channels.
  • Develop full-funnel attribution across the buyer journey, modernizing methodology beyond last-click with view-based, multi-touch, and buying-group-aware models.
  • Develop executive-ready reporting and performance narratives that connect marketing investment to revenue outcomes and support capital allocation decisions.
  • Build and operate Marketing Mix Models to quantify marginal channel ROI and support scenario planning and capital allocation.
  • Establish and scale an incrementality testing program, including holdout methodology, causal experiments, and investment recommendations.
  • Partner with Marketing and Finance leadership on evidence-based investment planning.
  • Build and operationalize predictive LTV models connecting upstream marketing signals to downstream revenue outcomes.
  • Develop multi-horizon revenue forecasting that translates real-time marketing indicators into expected ARR outcomes.
  • Drive the build-versus-buy roadmap for predictive tooling, evaluate vendor solutions, manage external partnerships, and determine where proprietary models offer lasting advantage.
  • Lead and direct data science execution toward measurement priorities; design experiments, validate methodology, and maintain quality standards.
  • Advance AI and machine learning applications in measurement, attribution, targeting, and forecasting.

Benefits

  • HubSpot benefits and perks are mentioned, but specific benefits are not enumerated.
  • Some roles may be eligible to participate in HubSpot’s equity plan and receive restricted stock units (RSUs).
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