Director, Marketing Analytics

Elastic

Confirmed live today High trust

Quick summary

Work type
On-site
Location
—
Salary
$160,300–$253,600 / yr
Posted
2 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $234k
This role $207k
$146k most similar roles pay here $294k

This role pays less than 67% of similar roles. Most pay $194,707–$273,305 — the shaded band above. At the midpoint, this role pays about $207k versus about $234k 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 44 open roles on FindRole.

Listed pay typically runs $159,800–$252,800 across 43 roles with salary data.

Most-posted roles

View all roles at Elastic

At a glance

TL;DR · Director, Marketing Analytics

As Director, Marketing Analytics, you will lead a multidisciplinary team comprising data engineers, analytics engineers, data scientists, and BI analysts to translate marketing intelligence into operational excellence. You will build the company’s marketing intelligence system by developing multi-touch attribution models, establishing ROI frameworks for capital allocation, and identifying predictive buyer signals to drive growth across the customer lifecycle. Your daily work involves standardizing data taxonomy and semantic models while ensuring information architecture is optimized for AI interfaces. To succeed, you must possess expertise in SQL, BigQuery, dbt, Tableau, Salesforce, and Marketo. You will also manage cross-functional alignment with Sales, Finance, and RevOps to deliver executive-ready visualizations. This role solves the challenge of creating a transparent single source of truth to streamline decision-making within a complex SaaS ecosystem involving product-led growth and multi-touch marketing.

What you'll do

  • Operationalize multi-touch attribution and ROI frameworks to optimize global marketing budget allocation.
  • Build customer journey frameworks to identify predictive buyer intent and expansion signals.
  • Standardize data taxonomy, metric definitions, and semantic models to ensure AI readiness.
  • Develop executive-ready visualizations and data-backed narratives for cross-functional stakeholders.
  • Lead and mentor a multidisciplinary team of data engineers, scientists, and analysts.
  • Establish intake triage processes to manage team capacity and focus on high-impact goals.

What we're looking for

  • 10+ years of leadership experience managing multidisciplinary analytics teams including data engineers, analysts, and scientists.
  • Expertise in marketing measurement, multi-touch attribution models, incrementality testing, and SaaS unit economics.
  • Experience designing information architectures, metric dictionaries, and governance standards for AI tools.
  • Technical proficiency with SQL, BigQuery, dbt, Tableau, and CRM/MarTech systems like Salesforce and Marketo.
  • Ability to translate complex quantitative models into executive-ready narratives and strategic recommendations.
  • Bachelor’s degree in a quantitative or business field or equivalent professional experience.
  • Experience operationalizing predictive machine learning models for seller actioning (preferred).
  • Experience with partner-sourced revenue or Product-Led Growth (PLG) SaaS models (preferred).

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