Director of Marketing Analytics

Elastic; United States; Hybrid; USD 180,000 - 280,000; Full time

Benefits offered by this job

Health coverage

Flexible location

Generous vacation days

Parental leave

Volunteer time off

Charitable matching

Job summary

Elastic is seeking a Director of Marketing Analytics to translate marketing intelligence into operational excellence and commercial impact. Lead a multidisciplinary analytics team spanning data engineering, analytics engineering, visualization, and data science workflows to drive business growth.

You will partner with Sales, RevOps, Finance, PLG and Enterprise Data, build a governed single source of truth, and deploy explainable attribution and predictive signals to fuel growth across the

Qualifications

• 10+ years of leadership experience managing multidisciplinary analytics teams.
• Proven marketing measurement, attribution, and incrementality expertise.
• Experience translating analytics into executive-level decisions.

Responsibilities

• Lead a multidisciplinary analytics team across data engineering, analytics engineering, visualization and data science workflows.
• Partner with Sales, RevOps, Finance, PLG and Enterprise Data to align metrics and storytelling.
• Operationalize MTA and ROI frameworks for full-funnel measurement.
• Model moments that matter using predictive signals and integrate into Salesforce for actioning.
• Develop AI-ready information architecture and semantic models across marketing tech stack.
• Deliver executive-ready visualizations in Tableau and drive data-backed decisions.

Skills

Marketing analytics

Leadership

Cross-functional collaboration

Tableau

BigQuery

dbt

SQL

Forecasting

ROI frameworks

Attribution

Education

Bachelor's degree in quantitative or business field

Tools

Tableau

Salesforce

Marketo

BigQuery

dbt

Job description

• We are looking for a Director, Marketing Analytics to translate our marketing intelligence strategy into operational excellence and commercial impact. You will lead a multidisciplinary analytics team across data engineering, analytics engineering, visualization, and data science workflows
• Sitting at the intersection of marketing strategy, revenue operations, and data engineering, you will serve as a trusted partner to Sales, RevOps, Finance, Product-Led Growth (PLG), and Enterprise Data
• You will build our marketing intelligence system. This will focus on three key areas. First, you will optimize how we allocate capital. You will use solid ROI and incrementality frameworks for this. Second, you will identify growth insights by finding predictive buyer and expansion signals
• Finally, you will promote data clarity. This involves ensuring we have a well-governed, transparent single source of truth. Grounded in open, explainable attribution models, you will streamline organization-wide decision-making and help fuel long-term growth across the entire customer lifecycle
• Capital Allocation & Attribution: Operationalize open, explainable multi-touch attribution (MTA) and ROI frameworks that measure full-funnel contribution and ensure global budgets are allocated efficiently
• Customer Journeys & Predictive Signals: Build customer journey frameworks in partnership with Marketing Ops to model the “moments that matter”, while overseeing the deployment of predictive buyer intent and expansion signals to growth and sales teams
• Information Architecture & AI Readiness: Standardize data taxonomy, metric definitions, and semantic models (dbt/BigQuery) across our marketing ecosystem, ensuring our data foundations are structured, clean, and optimized for AI data interfaces
• Cross-Functional Alignment & Visualizations: Partner across Sales, RevOps, Finance, and PLG to align on shared metrics, delivering executive-ready visualizations (Tableau) and data-backed stories that simplify planning, execution, and course correction
• Team Leadership & Capacity Governance: Guide, mentor, and orchestrate a multidisciplinary analytics team, establishing clear intake triage processes that shield team capacity for high-impact strategic milestones

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).

Data Governance & Taxonomy Expertise: Demonstrated success designing information architectures, metric dictionaries, and governance standards that support automation and AI tools10+ years of leadership experience managing multidisciplinary analytics teams, with a track record of unifying data engineers, analytics engineers, data scientists, and BI analysts toward shared commercial goalsProven Measurement & Financial Acumen: Deep expertise in marketing measurement, modern attribution models, incrementality testing, customer journey mapping, and SaaS unit economics (CAC, LTV, NRR, Payback)Education: Bachelor’s degree in a quantitative or business field (such as Statistics, Economics, Data Science, or Business Administration) or equivalent professional experienceTechnical Stack Literacy: Hands-on technical comfort with SQL, modern data platforms (BigQuery, dbt), enterprise BI platforms (Tableau), and CRM/MarTech ecosystems (Salesforce, Marketo)Executive Storytelling & Cross-Functional Orchestration: Exceptional ability to translate complex quantitative models into clear economic narratives and strategic recommendations for executive leadershipHands-on experience operationalizing predictive machine learning models (e.g., lead scoring, propensity models, churn risk) directly into Salesforce for seller actioningExperience building measurement frameworks for partner-sourced, partner-influenced, or hyperscaler marketplace revenueDirect experience analyzing Product-Led Growth (PLG), consumption-based, or usage-driven SaaS revenue models