Elastic - Principal, Marketing Analytics
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, including cost, value, and total cost of ownership, and influencing senior leaders to reach agreement. • A consultative style. You can 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. • Proficient presentation skills, with 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, preferably BigQuery. • 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. • 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. • Additional Information - We Take Care of Our People: • As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. • We strive to have parity of benefits across regions, and while regulations differ from place to place, we believe taking care of our people is the right thing to do. • Competitive pay based on the work you do here and not your previous salary • Health coverage for you and your family in many locations • Ability to craft your calendar with flexible locations and schedules for many roles • Generous number of vacation days each year • Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service • Up to 40 hours each year to use toward volunteer projects you love • Embracing parenthood with a minimum of 16 weeks of parental leave
Responsibilities
• 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.
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