Principal of Marketing Analytics

Join our team as a Principal of Marketing Analytics, where you will be the architect and builder of our marketing and sales systems. You will work closely with various teams, including Marketing, Sales, Revenue Operations, Finance, and Data, to help the business make informed decisions about where to invest and which accounts to pursue. You will also mentor senior analysts and engineers, and set standards for metric definitions, data quality, and privacy compliance.

• Architect and build the data models and analysis that deliver value, helping the business answer where to invest, which accounts to pursue, and what drives revenue.
• Partner with Marketing, Sales, Revenue Operations, Finance, and Data teams to understand their problems and decisions, turning them into analyses, recommended actions, and clear requirements for systems and data.
• 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.

• Knowledge of machine learning models, and the ability to help build and use them in production
• Experience designing data and analytics architecture, and recommending which tools and platforms to build, buy, or retire
• Proficient presentation skills, with the ability to explain methods, trade-offs, and results to executives and non-technical teams
• Experience with account-based strategy, motions, and frameworks, and with marketing lifecycle and deal lifecycle analytics
• Experience building business cases, including cost, value, and total cost of ownership, and influencing senior leaders to reach agreement
• Python or R skills, with clean, tested code
• Hands-on experience with attribution, incrementality testing, and/or marketing mix modeling, plus applied statistics
• A consultative style. You can uncover business pain points and turn them into analysis plans that lead to decisions
• Extensive SQL and dbt (or similar), data modeling, and cloud data warehouse experience, preferably BigQuery
• 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
• Funnel economics and performance modeling experience across sales and marketing data
• Experience mentoring and developing others
• 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