Position Details
You will work with Creative, Technology, Strategy, Media, CRM & Loyalty, and Innovation colleagues, and supervise marketing analytics and data services alongside two or more external agencies. You will bring experience leading complex engagements and client relationships in a full-service digital setting.
You will help centralize analytics services across the Material network and advance our data and martech stack. We want someone analytical who keeps the focus on tangible results and helps clients make quantified decisions.
Responsibilities
Lead measurement strategy. Define KPI frameworks, baselines, reporting requirements, and measurement plans that connect marketing activity to outcomes across the customer journey. Agree on definitions for leads, qualified leads, conversions, customers, and revenue with client stakeholders.
Connect campaign and lead data. Oversee the mapping of 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.
Develop attribution and modeling approaches. Guide the design and evaluation of lead attribution, multi-touch attribution, audience segmentation, propensity models, and other analyses suited to each client’s data and decisions. Assess assumptions, data coverage, and limitations, and distinguish attributed outcomes from evidence of incremental impact.
Direct reporting and business intelligence. Own the analytical quality of BI dashboards, recurring reports, and executive presentations. Ensure reporting explains what changed, why it matters, how confident the team is, and what action should follow.
Build scalable report automation. 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 of all outputs for accuracy, confidentiality, and client relevance before delivery.
Work with cloud data warehouses. 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.
Own data quality and governance. Investigate discrepancies across ad platforms, web analytics, CRM systems, and reports. Document metric definitions, attribution logic, data lineage, quality checks, and known limitations.
Guide implementation and testing. 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.
Lead client delivery and develop the team. 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.
Qualifications
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.
Demonstrated 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 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.
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.
Why work for Material?
Material is a global company and we work with best-of-class brands worldwide. We also create and launch new brands and products, putting innovation and value creation at the center of our practice. Our clients are in the top of their class, across industry sectors from technology to retail, transportation, finance and healthcare.
Material employees join a peer group of exceptionally talented colleagues across the company, the country, and even the world. We develop capabilities, craft and leading-edge market offerings across seven global practices including strategy and insights, design, data & analytics, technology and tracking. Our engagement management team makes it all hum for clients.
A community focused on learning and making an impact. Material is an outcomes focused company. We create experiences that matter, create new value and make a difference in our clients' lives and their customers' lives.
Pay Range: $145,000.00 - $175,000.00
The range shown represents a grouping of relevant ranges currently in use at Material. Actual range for this position may differ, depending on location and specific skillset required for the work itself.
Equal Employment Opportunity
All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other factors prohibited by law.
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