Director, Digital Analytics

Material

. Lead measurement strategy by defining KPI frameworks, baselines, reporting requirements, and measurement plans connecting marketing activity to customer-journey outcomes .

Posted 10/23/2026full-timeUnited StatesLead💰 $145,000 - $175,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in digital marketing analytics, including lead attribution, multi-touch attribution, and audience segmentation. Proficient in SQL and experienced with Snowflake, BI dashboards, and automated reporting workflows to drive data-driven decision-making.

Highest-signal resume keywords

Digital Marketing AnalyticsLead AttributionSQL ProficiencySnowflake ExperienceBI Dashboard Development

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Lead Attribution MethodsMulti-Touch AttributionAudience SegmentationPredictive ModelingData-Driven Solutions DesignCampaign TrackingMarketing Data IntegrationIncrementality TestingMarketing Mix ModelingCustomer Lifetime Value Analysis

Soft Skills

Creative Problem SolvingSelf-OrganizationPrioritizationClear CommunicationStakeholder Management

Tools & Technologies

SupermetricsCampaign Manager 360Google Tag ManagerGA4SalesforceMarketo

Industry Keywords

Digital MarketingConsultingMedia AgencyCRM SystemsData Quality Checks

Tech Stack

Tools & technologies

CloudSQL

About the role

Key responsibilities & impact

Lead measurement strategy by defining KPI frameworks, baselines, reporting requirements, and measurement plans connecting marketing activity to customer-journey outcomes
Agree on definitions for leads, qualified leads, conversions, customers, and revenue with client stakeholders
Oversee mapping of campaign and lead data to understand lead sources, funnel progression, conversion quality, and downstream value
Identify gaps in identifiers, campaign taxonomy, and lead management processes
Guide lead attribution, multi-touch attribution, audience segmentation, propensity modeling, and other client-specific analyses
Direct the analytical quality of BI dashboards, recurring reports, and executive presentations
Lead automated workflows for data collection, preparation, reporting, and quality checks, including Supermetrics connectors where appropriate
Set responsible-use standards for Claude and ChatGPT in analysis and drafting, with human review before delivery
Use SQL to explore, validate, and prepare marketing data in Snowflake; review reporting dataset logic
Work with data engineering to resolve pipeline, access, and reporting issues
Investigate discrepancies across advertising platforms, web analytics, CRM systems, and reports
Document metric definitions, attribution logic, data lineage, quality checks, and known limitations
Partner with Media, Technology, CRM, Creative, and client teams on tagging, data layers, campaign parameters, conversion feeds, and implementation QA
Design practical testing and measurement plans for audiences, creative, site content, channels, and customer journeys
Manage priorities across stakeholders and external partners
Review analysts’ work, flag risks early, and present findings to technical and executive audiences
Contribute reusable methods and point-of-view content, stay current on industry practices, and train staff
Help centralize analytics services across the Material network and advance the data and martech stack

Requirements

What you’ll need

6–8 years of experience in digital marketing analytics, ideally in a digital, consulting, or media agency setting
Experience designing multi-stage, data-driven solutions from requirements through delivery
Experience connecting paid media and digital analytics data to lead management, CRM stages, customer outcomes, and revenue
Strong understanding of lead attribution and marketing measurement methods, including assumptions and limitations
Experience guiding segmentation or predictive modeling
Proficiency in SQL
Experience with Snowflake or a comparable cloud data warehouse
Experience developing and overseeing BI dashboards and automated reporting workflows
Working knowledge of Marketo, Salesforce, campaign tracking, tag management, and marketing data integration
Ability to diagnose data discrepancies, set reporting standards, and turn complex analyses into clear client recommendations
Ability to self-organize and prioritize competing work for multiple stakeholders across geographies, within a cross-agency team and evolving organization
Creative problem solver who can turn data and research into insights and relevant recommendations
Preferred: Experience with Supermetrics, Campaign Manager 360, Google Tag Manager, GA4, and other media or web analytics platforms
Preferred: Experience connecting online activity to offline conversions, appointments, or sales
Preferred: Familiarity with incrementality testing, marketing mix modeling, forecasting, and customer lifetime value analysis
Preferred: Experience with Account Based Marketing
Preferred: Experience setting quality controls and review practices for AI-assisted analytics and reporting

Benefits

Comp & perks

Learning-focused community
Opportunities to develop capabilities and leading-edge market offerings
Work with exceptionally talented colleagues across the company, country, and world
Work with best-of-class brands worldwide
Equal employment opportunity