Principal, Marketing Analytics

Description

The company makes search, security, and observability software on a cloud-based AI platform. More than 50% of the Fortune 500 use it to pull answers from structured and unstructured data.

The team is hiring a principal for marketing analytics. You will sit between the business and the systems that support it, and you will help leaders decide where to invest, which accounts to chase, and what drives revenue.

You will work with Marketing, Sales, Revenue Operations, Finance, and Data teams, and you will coach senior analysts and engineers.

Responsibilities

• Talk with business leaders about their problems and decisions, then turn those into analyses, recommended actions, and requirements for systems and data.
• Advise which systems, tools, and products to prioritize, and explain your reasoning.
• Write a business case for each investment covering expected value, resourcing, and total cost of ownership, then win leaders over.
• Design the measurement architecture for marketing and sales, and build the core data models, pipelines, and ML datasets with tests and version control.
• Model how marketing spend and activity turn into pipeline and revenue, and track the customer journey from first touch to signed deal.
• Define account-based performance measures and put them to work with Sales and Marketing.
• Bring attribution, incrementality testing, and mix modeling together into one consistent picture of what works.
• Build tools that let marketers ask questions in plain language and receive reliable answers.
• Set shared standards for metric definitions, data quality, and GDPR/CCPA privacy compliance across Sales, Marketing, and systems teams.
• Plan roadmaps and milestones with Data Engineering, Analytics, and IT.
• Mentor senior analysts and engineers.

Requirements

• A bachelor's degree or equivalent in a quantitative or technical field such as Economics, Statistics, Engineering, or Computer Science.
• 10+ years of marketing or go-to-market analytics experience at a B2B company.
• Experience designing data and analytics architecture and advising which tools and platforms to build, buy, or retire.
• Experience building business cases that cover cost, value, and total cost of ownership, and persuading senior leaders to agree.
• A consultative approach: you can surface business pain points and turn them into analysis plans that drive decisions.
• Experience modeling funnel economics and performance across sales and marketing data.
• Experience with account-based strategy, motions, and frameworks, plus marketing lifecycle and deal lifecycle analytics.
• Strong presentation skills, so you can explain methods, trade-offs, and results to executives and non-technical teams.
• Extensive SQL, dbt (or similar), data modeling, and cloud data warehouse experience, ideally BigQuery.
• Python or R, with clean, tested code.
• Hands-on work with attribution, incrementality testing, and/or marketing mix modeling, along with applied statistics.
• Knowledge of machine learning models and the ability to help build and run them in production.
• Experience mentoring and developing other people.
• Bonus: experience with Salesforce, Marketo, or similar GTM systems data.
• Bonus: experience across PLG, SLG, ABM, and enterprise sales motions.
• Bonus: experience building natural language question-and-answer tools for business data.