Responsibilities

• 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
• 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

Requirements

• 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
• 5+ years experience using BigQuery and Google Cloud Platform
• 5+ years performing Analysis in ecommerce (customer and product) marketing data
• Advanced SQL, database querying, and ETL/ELT experience
• Expert Google Analytics knowledge (Google Analytics 360 preferred)
• Expert Paid Platform knowledge – Adwords, Bing and Meta etc
• Expert in working with and connecting data lakehouses or star schemas
• Expert in working with large-scale paid media accounts
• Python or R Studio

Nice To Have

• Tableau or Power BI experience (optional)
• Strong cross-functional collaboration and stakeholder management
• Familiarity with Azure DevOps or similar workflow tools
• Experience mentoring and developing junior analysts
• Advanced Python or R Studio usage
• Strong storytelling and presentation skills

Benefits

• Medical
• Vision
• Dental
• PTO
• Paid Maternity Leave
• Paid Parental Leave
• Life Insurance
• Disability
• Dependent Care FSA
• 401(k) matching