What are the responsibilities and job description for the Sr. Marketing Data Analyst position at WebstaurantStore?
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.
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