Director Digital Analytics

Material•Austin, NY

1d•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 assess performance and make investment decisions. The Director owns analytics strategy and delivery across client and agency teams, guides technical implementation, oversees automated reporting, develops attribution and modeling approaches, and translates findings into actionable recommendations. The role is also a lead voice in Material’s digital analytics and data science practice. The Director 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 position involves leading complex engagements and client relationships in a full-service digital setting, centralizing analytics services across the Material network, and advancing its data and martech stack. This is a hybrid role based near an office in Los Angeles, New York City, or Austin.

Requirements

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 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, including turning data and research into insights and relevant recommendations.

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.
Agree with client stakeholders on definitions for leads, qualified leads, conversions, customers, and revenue.
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 that limit measurement.
Guide the design and evaluation of lead attribution, multi-touch attribution, audience segmentation, propensity models, and other analyses suited to client data and decisions.
Assess assumptions, data coverage, and limitations, and distinguish attributed outcomes from 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.
Set responsible-use standards for Claude and ChatGPT in analysis and drafting, requiring human review for accuracy, confidentiality, and client relevance.
Use SQL to explore, validate, and prepare marketing data in Snowflake, and review the logic behind reporting datasets.
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 test and measurement plans for audiences, creative, site content, channels, and customer journeys.
Manage priorities across stakeholders and external partners, review analysts’ work, and flag risks early.
Present findings to technical and executive audiences.
Contribute reusable methods and point-of-view content, stay current on industry practices, and train staff.