Sr. Marketing Data Analyst

Job Summary

As a Senior Marketing Data Analyst at WebstaurantStore, you will play a critical role in shaping how data informs marketing strategy and accelerates business growth. This role sits at the intersection of analytics, technology, and decision-making, working daily within our marketing data lakehouse to turn complex data into clear insights that drive performance across our SEM and broader marketing organization.

You will own end-to-end analytics workflows-from data modeling and pipeline optimization to advanced analysis and executive-ready storytelling-using Google Cloud's analytics ecosystem. Your work will directly influence how we allocate millions in marketing spend, identify emerging growth opportunities, and continuously improve ROI at scale.

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

What You'll Do:

• Drive business impact: Partner with SEM, Marketing Leadership, and cross-functional teams to deliver insights that improve acquisition efficiency, conversion performance, and long-term customer value.
• Own the analytics lifecycle: Design, build, and maintain scalable datasets, transformations, and reporting in our marketing data lakehouse, ensuring data is accurate, trusted, and decision-ready.
• Identify growth opportunities: Proactively uncover trends, performance gaps, and experimentation opportunities across channels, keywords, audiences, and campaigns.
• Innovate with data: Apply analytics best practices, modern modeling techniques, and automation to enhance reporting speed, insight depth, and self-service analytics adoption.
• Be a subject-matter expert: Serve as a go-to expert for marketing data, metrics, and measurement methodology, influencing how success is defined and tracked.
• Communicate with impact: Translate complex analyses into clear narratives and actionable recommendations for both technical and non-technical stakeholders.

Growth & Development Opportunities:

• Influence the evolution of our marketing measurement strategy at enterprise scale
• Lead large, high-visibility analytical initiatives tied directly to company growth
• Mentor analysts and help set analytics standards and best practices
• Work with modern cloud-native tools and continuously expand your technical skill set
• Grow into broader strategic, technical leadership, or people-management paths over time

What Success Looks Like:

In this role, success means not just reporting what happened-but shaping what happens next. Your curiosity, technical expertise, and strategic mindset will help WebstaurantStore continue to innovate in how we use data to win in highly competitive markets.

Essential Duties and Responsibilities:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Produce a continuous flow of data-driven insights, hypotheses, and recommendations that drive optimization and growth
• Collaborate with key stakeholders to develop reports and validate results using our marketing data lakehouse
• Answer ad-hoc business questions related to ecommerce and brick and mortar sales, website, app, advertising, consumer, and general marketing data
• Expand our measurement of best customers and products that are important to them
• Build and manage advanced SQL queries, data marts, and pipelines for analysis and measurement
• Visualize and interpret data using SQL, BigQuery, and Looker Studio
• Design, recommend, measure, and visualize A/B Tests
• Evaluate and measure the incremental impact of our marketing, using tactics such as attribution modeling, media mix modeling, and designing/measuring experiments
• Become an internal Google Cloud Platform subject matter expert?
• Stay up to date on industry trends and explore/test new opportunities.
• Leverage and continuously develop new ways to implement AI
• Communicate and collaborate clearly with internal and external stakeholders
• Help mentor, train and develop junior analysts
• Document and manage work items in Azure DevOps

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, Master's Degree in Marketing, or direct job experience in Analytics, Economics, Finance, Statistics, or Data Science
• 5+ years experience in analytics working with ecommerce marketing data

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

• +5 years experience using BigQuery and Google Cloud Platform
• +5 years performing Analysis in ecommerce (customer and product) marketing data working
• +5 years experience using data visualization software (preferably Looker Studio; Tableau or Power BI optional)
• Advanced SQL, database querying, and ETL/ELT experience
• Expert Google Analytics (Google Analytics 360 preferred) knowledge
• Expert Paid Platform knowledge - Adwords, Bing and Meta etc knowledge
• Expert in working with and connecting data lakehouses or star schemas
• Expert in working with large-scale paid media accounts
• Python or R Studio
• Proficiency with MS Office required (Outlook, Word, Excel, PowerPoint)
• Expert analytical and problem-solving skills required
• Strong verbal and written communication skills; ability to tell a story; ability to explain technical and complex concepts in a simple and concise way
• Demonstrated ability to manage multiple assignments and deadlines in a fast-paced environment
• Ability to quickly adapt as business needs change; ability to address difficult situations with diplomacy and emotional intelligence
• Customer service-oriented attitude with a demonstrated desire to exceed expectations