Marketing Analytics Manager - Lititz , Pennsylvania

# Marketing Analytics Manager## Lititz, PA## Job Description## Job SummaryThe **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.### Remote Work Qualifications* Access to a reliable and secure high-speed internet connection. Cable or fiber internet connections (at least 75mbps download/10mbps upload) are preferred, as satellite connections often cannot support the technologies used to perform day-to-day tasks.* Access to a home router and modem.* A dedicated home office space that is noise- and distraction-free. The space should have strong wireless connection or a wired Ethernet connection (wired connection is preferred, if possible).* A valid, physical address (apartment, suite, etc.). PO Boxes are not supported, as a physical address is required for you to receive your computer equipment.* The desire and ability to work and communicate with other team members via chat, webcam, etc.* Legal residents of one of the following states: (AK, AL, AR, AZ, CT, DE, FL, GA, IA, ID, IN, KS, KY, LA, MD, ME, MI, MN, MO, MS, NC, ND, NH, NM, NV, OH, OK, PA, SC, SD, TN, TX, UT, VA, VT, WI, WV, and WY).We only accept W-2 candidates, H-1B sponsorship is not available.## ResponsibilitiesThe **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.### Physical Requirements* Work is performed while sitting/standing and interfacing with a personal computer.* Requires the ability to communicate effectively using speech, vision, and hearing.* Requires the regular use of hands for simple grasping and fine manipulations.* Requires occasional bending, squatting, crawling, climbing, and reaching.* Requires the ability to occasionally lift, carry, push, or pull medium weights, up to 50lbs.## Qualifications### Experience* Bachelor’s degree in Marketing Analytics, Business Analytics, Statistics, Economics, Data Science, or a related field; or equivalent professional experience.* **5+ years** hands-on in e-commerce marketing analytics, spanning at least 3 annual cycles.* **5+ years** SQL at advanced level; working proficiency with Python or R preferred.* **5+ years** developing BI reports and dashboards at an expert level (Looker and/or PowerBI preferred).* **4+ years** managing marketing KPIs, attribution, incrementality, and customer journey.* **3+ years** hands-on with GA360, Google Cloud (especially BigQuery), and large-scale (million+ record) marketing datasets.* **2+ years** working with paid media platforms (Google Ads, Meta Ads, Bing Ads) and digital tracking best practices.* **2+ years** implementing MMM, MTA, or similar attribution methodologies and successfully driving ad spend adjustments.* **1+ years**as a people manager of a team of 3+, including development and performance management experience.### EducationThis role does not require a degree. We value relevant skills and experience and alignment with our core values above all else.### Desired Traits & Skills* Excellent understanding of the ebbs, flows, and trends of B2B and B2C ecommerce.* Strong organizational and communication skills.* Proven ability to train and mentor others to improve analytical maturity, quality, and productivity.* Ability to manage multiple priorities in a fast-paced environment with high accuracy.* Ability to clearly translate analytical findings into business recommendations.
#J-18808-Ljbffr