Principal, Marketing Analytics

Elastic

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
—
Salary
$159,800–$252,800 / yr
Posted
5 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $191k
This role $206k
$130k $266k
below market most similar roles pay here above market

This role pays more than 54% of similar roles. Most pay $165,000–$216,300 — the blue band above. At the midpoint, this role pays about $206k versus about $191k for comparable roles.

Based on 240 similar postings.

Employer

About Elastic

Elastic is the company behind Elasticsearch and the Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash). It sells search, observability, and security products built on that search engine, primarily through its Elastic Cloud managed service.

Elastic currently has 52 open roles on FindRole.

Listed pay typically runs $133,100–$210,600 across 52 roles with salary data.

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View all roles at Elastic

At a glance

TL;DR · Principal, Marketing Analytics

JOB TITLE: Principal, Marketing Analytics The Principal, Marketing Analytics serves as a strategic architect and builder within the marketing and sales ecosystem. This role involves partnering with Marketing, Sales, Revenue Operations, Finance, and Data teams to translate business problems into actionable analyses and system requirements. Key responsibilities include designing data architectures, building core data models and pipelines, and developing machine learning datasets to measure the full customer path from first touch to closed deal. You will combine attribution, incrementality, and mix modeling to provide a consistent view of revenue drivers. Required skills include extensive experience with SQL, dbt, Python, R, and cloud data warehouses like BigQuery. You will also mentor senior analysts and engineers while ensuring data quality and privacy compliance across all go-to-market systems and performance measures.

What you'll do

  • Translate business leader problems into technical requirements, analyses, and recommended actions.
  • Recommend and prioritize specific systems, tools, and products based on clear business reasoning.
  • Build and present business cases for investments including expected value, resources, and total cost of ownership.
  • Design the architecture for marketing and sales measurement and build core data models and pipelines.
  • Model marketing spend conversion to revenue and measure the full customer path from first touch to closed deal.
  • Combine attribution, incrementality, and mix modeling into a single consistent view of performance.
  • Build tools that allow marketers to get trusted answers using natural language questions.
  • Set and maintain standards for metric definitions, data quality, and privacy compliance.

What we're looking for

  • Bachelor’s degree or equivalent in a quantitative or technical field such as Economics, Statistics, Engineering, or Computer Science.
  • 10+ years of experience in marketing or GTM analytics at a B2B company.
  • Experience designing data and analytics architecture and recommending tools or platforms to build, buy, or retire.
  • Experience building business cases including cost, value, and total cost of ownership to influence senior leaders.
  • Experience with funnel economics, performance modeling, account-based strategy, and marketing/deal lifecycle analytics.
  • Proficiency in SQL, dbt, data modeling, and cloud data warehouses, preferably BigQuery.
  • Proficiency in Python or R with clean, tested code.
  • Hands-on experience with attribution, incrementality testing, marketing mix modeling, applied statistics, and machine learning models.

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