Principal, Marketing Analytics

Elastic

1d • $159,800 - $303,500 • Remote

About The Position

Elastic is seeking a Principal, Marketing Analytics to connect business needs with the systems, data, and analysis that support marketing and sales decisions. The role partners with Marketing, Sales, Revenue Operations, Finance, and Data teams to determine where to invest, which accounts to pursue, and what drives revenue. The Principal translates leaders’ questions into analyses, recommendations, and requirements; evaluates which systems, tools, and products to build, buy, prioritize, or retire; and presents business cases based on expected value, resources, and total cost of ownership.

The role designs marketing and sales measurement architecture and builds core data models, pipelines, and machine-learning datasets, with testing and version control. It develops funnel and performance models connecting marketing activity and spend to pipeline and revenue, measures the customer path from first touch to closed deal, and combines attribution, incrementality, and mix modeling into a consistent view of effectiveness. The Principal also defines account-based performance measures, builds plain-language tools for trusted business-data answers, establishes standards for metrics, data quality, and GDPR/CCPA privacy compliance, plans roadmaps with partner teams, and mentors senior analysts and engineers.

The position offers base salary without variable compensation and is eligible for Elastic’s stock program. The company describes itself as distributed and offers flexible location and scheduling for many roles. Elastic also describes its benefits and people policies, including competitive pay, health coverage in many locations, vacation days, donation matching, volunteer time, and parental leave.

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 that include cost, value, and total cost of ownership, and influencing senior leaders to reach agreement.
• Consultative style, including the ability to 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.
• Presentation skills, including 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; BigQuery is preferred.
• Python or R skills, with clean, tested code.
• Hands-on experience with attribution, incrementality testing, and/or marketing mix modeling, plus applied statistics.
• Knowledge of machine-learning models and the ability to help build and use them in production.
• Experience mentoring and developing others.

Nice To Haves

• 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.
• BigQuery cloud data warehouse experience.

Responsibilities

• Meet with business leaders to understand their problems and decisions, and 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 supporting reasoning.
• Build business cases for investments, including expected value, required resources, and total cost of ownership; present them to leaders and gain agreement.
• Design marketing and sales measurement architecture and build core data models, pipelines, and machine-learning datasets with testing and version control.
• Build models showing how marketing spend and activity convert to pipeline and revenue, and measure the 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 receive trusted answers.
• Set standards for metric definitions, data quality, and GDPR/CCPA privacy compliance, and maintain consistency across Sales, Marketing, and systems teams.
• Plan roadmaps and milestones with Data Engineering, Analytics, and IT.
• Mentor senior analysts and engineers.

Benefits

• Company-matched 401(k), with dollar-for-dollar matching up to 6% of eligible earnings.
• Eligible to participate in Elastic’s stock program.
• Health coverage for employees and families in many locations.
• Flexible locations and schedules for many roles.
• Vacation days each year.
• Matching up to $2,000 (or local currency equivalent) for financial donations and service.
• Up to 40 hours each year for volunteer projects.
• A minimum of 16 weeks of parental leave.
• Competitive pay based on the work performed, not previous salary.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal