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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Marketing Analytics and Data Science, with a focus on Marketing Mix Modeling, Incrementality Testing, and Predictive LTV Modeling. Proven ability to create executive-ready reports and drive evidence-based investment planning through strong partnerships with Marketing and Finance leadership.
Highest-signal resume keywords
Marketing Mix ModelingIncrementality TestingPredictive LTV ModelingMulti-Touch Attribution ModelsExecutive Communication
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Marketing AnalyticsAttribution MethodologyData Science ExecutionPerformance ReportingScenario PlanningCausal ExperimentsBudget Decision FrameworksExperiment DesignData ValidationRevenue Forecasting
Soft Skills
Communication SkillsPartnership BuildingStrategic Thinking
Tools & Technologies
HubSpotPredictive ToolingAI ApplicationsMachine Learning
Industry Keywords
B2B SaaSHigh-Growth TechnologyMedia MeasurementPaid Media StrategyVendor Management
About the role
Key responsibilities & impact- Lead the evolution of HubSpot’s marketing measurement and investment optimization
- 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 and modernize attribution methodology beyond last-click
- Create executive-ready reporting and performance narratives connecting marketing investment to revenue outcomes
- Build and operate Marketing Mix Models to quantify marginal ROI and support scenario planning and capital allocation
- Establish and scale an incrementality testing program, including holdout methodology and causal experiments
- Partner with Marketing and Finance leadership on evidence-based investment planning
- Build and operationalize predictive LTV models and multi-horizon revenue forecasting
- Drive the build-versus-buy roadmap for predictive tooling and manage external partnerships
- Lead data science execution toward measurement priorities and advance AI and machine learning applications across measurement, attribution, targeting, and forecasting
Requirements
What you’ll need- 10+ years in marketing analytics or marketing data science
- Deep understanding of Marketing strategy and how it is developed and executed
- Deep expertise in Marketing Mix Modeling and incrementality testing
- Experience building or operationalizing Marketing Mix Modeling and incrementality capabilities
- Experience building predictive LTV models and multi-horizon revenue forecasting
- Experience building or implementing multi-touch attribution models for a B2B SaaS buyer’s journey
- Track record of building trusted Finance partnerships and measurement frameworks that drive budget decisions
- Strong technical fluency, including designing experiments and validating data science outputs
- Experience with modern multi-touch attribution across paid, owned, and earned channels, including view-based and buying-group-level measurement
- Excellent executive communication skills
- Nice to have: B2B SaaS or high-growth technology company experience, data science background, Brand and LLM/AEO/GEO measurement, paid media strategy and bidding optimization, vendor management, and B2B buying-group measurement
Benefits
Comp & perks- Annual cash compensation may include base salary, on-target commission for eligible roles, and annual bonus targets under HubSpot’s bonus plan
- Some roles are eligible to participate in HubSpot’s equity plan and receive restricted stock units (RSUs)
- Some roles may be eligible for overtime pay
- HubSpot benefits and perks to help employees grow better
- Flexible work arrangements and connection-focused in-person events
- Accommodation support for travel limitations or other reasons
- Disability accommodations and assistance during the hiring process