Principal, Marketing Analytics

Responsibilities

• Meet with business leaders to understand their problems and decisions. Turn them into analyses, recommended actions, and clear requirements for systems and data.
• Recommend which systems, tools, and products to prioritize, with a clear point of view and the reasoning behind it.
• Build the business case for each investment: expected value, required resources, and total cost of ownership. Present it to leaders and gain agreement.
• Design the overall architecture for marketing and sales measurement, and build the core data models, pipelines, and machine learning datasets, with testing and version control.
• Build models that show how marketing spend and activity convert to pipeline and revenue, and measure the full customer path from first touch to closed deal.
• Define account-based performance measures and apply them with Sales and Marketing.
• Combine attribution, incrementality, and mix modeling into one consistent view of what works.
• Build tools that let marketers ask questions in plain language and get trusted answers.
• Set standards for metric definitions, data quality, and privacy compliance (GDPR/CCPA), and keep them consistent across Sales, Marketing, and systems teams.
• Plan roadmaps and milestones with Data Engineering, Analytics, and IT.

Requirements

• Bachelor’s degree or equivalent in a quantitative or technical field, such as Economics, Statistics, Engineering, or Computer Science.
• 10+ years in marketing or GTM analytics at a B2B company.
• Experience designing data and analytics architecture, and recommending which tools and platforms to build, buy, or retire.
• Experience building business cases, including cost, value, and total cost of ownership, and influencing senior leaders to reach agreement.
• A consultative style. You can uncover business pain points and turn them into analysis plans that lead to decisions.
• Funnel economics and performance modeling experience across sales and marketing data.
• Experience with account-based strategy, motions, and frameworks, and with marketing lifecycle and deal lifecycle analytics.
• Proficient presentation skills, with the ability to explain methods, trade-offs, and results to executives and non-technical teams.
• Extensive SQL and dbt (or similar), data modeling, and cloud data warehouse experience, preferably BigQuery.
• Python or R skills, with clean, tested code.

Preferred

• Experience with Salesforce, Marketo, or similar GTM systems data.
• Experience across PLG, SLG, ABM, and Enterprise sales motions.
• Experience building natural language question-and-answer tools for business data.
• Privacy-first and cookieless measurement experience.

Benefits

• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with minimum of 16 weeks of parental leave