Principal of Marketing Analytics

Elastic; United States; Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Fully paid health coverage for you and

Family health coverage

Flexible location and schedule

Generous vacation days

Parental leave and family benefits

Volunteer time and charitable matching

Job summary

Elastic seeks a Principal Analytics Architect who bridges marketing, sales, and data systems to drive revenue decisions. You will design data models, pipelines, and ML-ready datasets, collaborating with Marketing, Sales, Revenue Operations, Finance, and Data teams while mentoring senior analysts and engineers.

You will build actionable analyses, recommend systems and tools, and create compelling business cases for investments with clear ROI and ownership.

Qualifications

• Extensive SQL, dbt, data modeling, and cloud data warehouse experience.
• Experience with attribution, incrementality testing, and/or marketing mix modeling.
• Ability to design data and analytics architecture and recommend tools to build, buy, or retire.
• Strong presentation skills to explain methods and results to executives.

Responsibilities

• Build data models, pipelines, and ML-ready datasets for marketing/sales analysis.
• Develop ABM and GTM performance measures with Sales and Marketing.
• Create business cases for investments with value, cost, and ownership.
• Mentor senior analysts and engineers to scale analytics capabilities.

Skills

SQL

dbt

BigQuery

Python/R

Marketing analytics

ABM analytics

GTM systems data

Education

Bachelor's degree in quantitative or technical field

Tools

Salesforce

Marketo

Job description

• We are looking for a Principal who understands how marketing and sales work collectively to create revenue
• You’ll be the architect, the builder, and the link between the business and the systems that serve it
• You’ll learn what decisions leaders face, form a point of view on which systems, tools, and products are worth building or buying, and make the case for it with clear reasoning
• You’ll also build the data models and analysis that deliver the value
• You’ll partner with Marketing, Sales, Revenue Operations, Finance, and Data teams, and you’ll mentor senior analysts and engineers
• Your role is to help the business answer where to invest, which accounts to pursue, and what drives revenue
• 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
• Mentor senior analysts and engineers

Benefits

• Toast to your health: Fully paid health coverage for you and your family, in many locations.
• Craft your calendar: Flexible location and schedule for most roles.
• Create space for you: Distributed by design workforce, plus generous number of vacation days each year.
• Embrace parenthood: Minimum of 16 weeks of parental leave, plus generous family formation benefits.
• Give back your time: 40 hours each year to use toward volunteering with organizations and causes you’re passionate about.
• Amplify your impact: Double your charitable giving — we match donations up to $1500 USD (or local currency equivalent).

Knowledge of machine learning models, and the ability to help build and use them in productionExperience designing data and analytics architecture, and recommending which tools and platforms to build, buy, or retireProficient presentation skills, with the ability to explain methods, trade-offs, and results to executives and non-technical teamsExperience with account-based strategy, motions, and frameworks, and with marketing lifecycle and deal lifecycle analyticsExperience building business cases, including cost, value, and total cost of ownership, and influencing senior leaders to reach agreementPython or R skills, with clean, tested codeHands-on experience with attribution, incrementality testing, and/or marketing mix modeling, plus applied statisticsA consultative style. You can uncover business pain points and turn them into analysis plans that lead to decisionsExtensive SQL and dbt (or similar), data modeling, and cloud data warehouse experience, preferably BigQueryBachelor’s degree or equivalent in a quantitative or technical field, such as Economics, Statistics, Engineering, or Computer Science10+ years in marketing or GTM analytics at a B2B companyFunnel economics and performance modeling experience across sales and marketing dataExperience mentoring and developing othersExperience with Salesforce, Marketo, or similar GTM systems dataExperience across PLG, SLG, ABM, and Enterprise sales motionsExperience building natural language question-and-answer tools for business dataPrivacy-first and cookieless measurement experience