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Marketing Analytics Manager

Work from home Full-time role Hiring

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. 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, MT, NC, ND, NE, 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.

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.

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.

Education This 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.

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