Marketing Analytics Principal: Revenue & Insights Architect

Elasticsearch B.V.; United States; Hybrid; USD 160,000 - 253,000; Full time

Benefits offered by this job

Competitive pay

Health coverage

Flexible schedule

Vacation days

Donation matching

Volunteer hours

Parental leave

Job summary

Elastic in the United States seeks a Principal who understands how marketing and sales work together to create revenue. You’ll be the architect, builder, and link between the business and the systems that serve it, defining when to build, buy, or retire tools and how data models and ML datasets deliver value.

You’ll partner with Marketing, Sales, Revenue Operations, Finance, and Data teams, and you’ll mentor senior analysts and engineers.

Qualifications

• Bachelor’s degree or equivalent in a quantitative or technical field.
• 10+ years in marketing or GTM analytics at a B2B company.
• Experience designing data and analytics architecture and recommending tools/platforms.
• Experience building business cases, including cost, value, and total cost of ownership, and influencing senior leaders.
• Consultative style turning business pain points into analysis plans.
• Funnel economics and performance modeling across sales and marketing data.
• Experience with account-based strategy and marketing lifecycle analytics.
• Proficient in presenting methods and results to executives and non-technical teams.
• Extensive SQL and dbt, data modeling, and cloud data warehouse experience, preferably BigQuery.
• Python or R with clean, tested code.
• Experience with attribution, incrementality testing, and marketing mix modeling.
• Knowledge of machine learning models and practical deployment.

Responsibilities

• Meet with business leaders to understand problems and turn them into analyses and requirements.
• Recommend which systems and tools to prioritize with clear rationale.
• Build the business case for investments and present to leaders for agreement.
• Design architecture for marketing and sales measurement and build core data models and pipelines.
• Create models showing how marketing spend converts to pipeline and revenue across the customer path.
• Define account-based performance measures and apply them with Sales and Marketing.
• Combine attribution, incrementality, and mix modeling into a unified view.
• Build tools for marketers to ask questions in plain language and get trusted answers.
• Set standards for data quality, privacy (GDPR/CCPA), and consistency across teams.
• Plan roadmaps with Data Engineering, Analytics, and IT; mentor senior analysts and engineers.

Skills

SQL

dbt

BigQuery

Python

R

Data modeling

Machine learning

Stakeholder engagement

Executive presentation

Education

Bachelor’s degree in quantitative/technical field

Tools

BigQuery

Cloud data warehouse

Job description

Elastic in the United States seeks a Principal who understands how marketing and sales work together to create revenue. You’ll be the architect, builder, and link between the business and the systems that serve it, defining when to build, buy, or retire tools and how data models and ML datasets deliver value.

You’ll partner with Marketing, Sales, Revenue Operations, Finance, and Data teams, and you’ll mentor senior analysts and engineers.