Director Digital Analytics

Material•Los Angeles, CA

1d•$145,000 - $175,000•Hybrid

About The Position

Material is seeking a Director of Analytics to lead marketing measurement, reporting, and advanced analytics for a dedicated client engagement, working with a remote team. The role connects media activity and digital behavior to leads, appointments, customers, and revenue to help clients understand performance and make better-informed investment decisions. The Director owns analytics strategy and delivery across client and agency teams. They guide technical implementation, oversee automated reporting, develop attribution and modeling approaches, and translate complex findings into actionable client recommendations. They will also contribute as a lead voice in Material’s growing digital analytics and data science practice. The position works with Creative, Technology, Strategy, Media, CRM & Loyalty, and Innovation colleagues, and supervises marketing analytics and data services alongside two or more external agencies. The Director will help centralize analytics services across the Material network and advance its data and martech stack.

Requirements

6–8 years of experience in digital marketing analytics, ideally in a digital, consulting, or media agency setting, including 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 their assumptions and limitations.
Experience guiding segmentation or predictive modeling.
Proficiency in SQL and 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 an evolving organization.
Creative problem-solving ability to turn data and research into insights and relevant recommendations.
Experience leading complex engagements and client relationships in a full-service digital setting.

Nice To Haves

Experience with Supermetrics, Campaign Manager 360, Google Tag Manager, GA4, and other media or web analytics platforms.
Experience connecting online activity to offline conversions, appointments, or sales.
Familiarity with incrementality testing, marketing mix modeling, forecasting, and customer lifetime value analysis.
Experience with Account Based Marketing.
Experience setting quality controls and review practices for AI-assisted analytics and reporting.

Responsibilities

Define KPI frameworks, baselines, reporting requirements, and measurement plans that connect marketing activity to outcomes across the customer journey; align definitions of leads, qualified leads, conversions, customers, and revenue with client stakeholders.
Oversee mapping campaign and lead data to understand lead sources, funnel progression, conversion quality, and downstream value; identify measurement gaps in identifiers, campaign taxonomy, and lead management processes.
Guide the design and evaluation of lead attribution, multi-touch attribution, audience segmentation, propensity models, and other analyses appropriate to client data and decisions; assess assumptions, data coverage, limitations, and evidence of incremental impact.
Own the analytical quality of BI dashboards, recurring reports, and executive presentations, ensuring they explain changes, significance, confidence, and recommended actions.
Lead automated workflows for data collection, preparation, reporting, and quality checks, including Supermetrics connectors where appropriate; establish responsible-use standards for Claude and ChatGPT, including human review for accuracy, confidentiality, and client relevance.
Use SQL to explore, validate, and prepare marketing data in Snowflake and review reporting dataset logic; partner with data engineering to resolve pipeline, access, and reporting issues.
Investigate discrepancies across ad 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 tests 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.
Stay current on industry practices, contribute reusable methods and point-of-view content, and train staff.