Marketing Analytics Manager

Job Summary The Enterprise BI & Analytics Team is the central hub of analytics and data engineering at WebstaurantStore. We transform billions of data points across marketing, supply chain, operations, and customer experience into trusted data foundations and actionable insights. Leveraging a modern data stack, scalable cloud technologies, and innovative DataOps practices, the team empowers smarter decisions, rapid growth, and new opportunities across the business. As a key pillar in the Enterprise BI function, the Marketing Analytics Team is seeking a Marketing Analytics Manager that brings deep ecommerce and digital marketing experience to help grow business impact. In this role, you will lead a team of five high performing analysts and own the development of multi-channel marketing measurement frameworks, performance insights, and decision ready business intelligence. You will guide strategy, elevate analytical rigor, and shape how marketing impacts the broader customer and business ecosystem. Responsibilities The Marketing Analytics Manager is a program leader, people manager, and hands-on analyst who sets direction, develops talent, and delivers high impact insights. Key areas of ownership include: 1) Marketing Measurement & Analytics • Serve as the analytics lead for paid search, paid media, SEO, and growth marketing. • Own the end-to-end measurement strategy across paid and organic channels. • Establish best fit approaches for measuring and monitoring channel performance. • Lead development of scalable, accurate, and executive-ready reporting and dashboards. • Perform deep-dive and ad-hoc analysis to answer complex questions and identify growth opportunities. 2) Cross-Functional Partnership • Act as a trusted advisor to marketing and business leaders, translating data into strategic recommendations. • Partner closely with data science, engineering, and marketing leadership to align priorities. • Influence product, marketing, and analytics roadmaps through insight-driven storytelling. 3) Team Leadership & Development • Manage and mentor a team of five marketing analysts. • Set clear goals, prioritize workloads, and ensure high-quality, timely delivery. • Coach analysts on technical skills, business context, and stakeholder communication. • Support career growth through feedback, development plans, and performance management. 4) Technical & Analytical Execution • Oversee analytics workflows within a Google Cloud–based tech stack, including: • Google Analytics 360 • Funnel.io (data ingestion and pipeline management) • BigQuery (SQL analysis & data modeling) • Looker (semantic layer & visualization) • Establish and maintain best practices for SQL, data modeling, and reporting performance. • Collaborate with data science on advanced analytics initiatives (e.g., experimentation, forecasting, incrementality, LTV, cohort analysis). • Partner with Enterprise BI on data sourcing, modeling, and broader data platform initiatives.