Staff Data Analyst (Growth Marketing)

TL;DR

Staff Data Analyst (Growth Marketing): Developing and owning measurement frameworks and attribution models for growth marketing channels with an accent on incrementality testing and performance measurement. Focus on optimizing customer acquisition spend, designing causal inference experiments, and building scalable analytics tools to drive business growth.

Location: Palo Alto, California, United States

Salary: $207,000 - $235,000 USD

Company

A direct-to-consumer retail technology company disrupting the industry by leveraging AI, analytics, and just-in-time manufacturing to provide high-quality essentials sustainably.

What you will do

• Own marketing attribution and measurement frameworks across paid search, paid social, affiliate, and other acquisition programs.
• Design, execute, and analyze incrementality tests and experimentation programs to measure causal marketing impact.
• Build and maintain automated daily, weekly, and monthly performance reporting for growth marketing and company leadership.
• Develop scalable analytics tools and processes to accelerate data-driven decision-making across the Growth team.
• Apply statistical and predictive modeling techniques, including Marketing Mix Modeling (MMM), to improve marketing efficiency.
• Partner cross-functionally with Data, Product, Engineering, and Finance teams to improve measurement infrastructure.

Requirements

• Bachelor's degree in a quantitative field such as Economics, Mathematics, Statistics, Engineering, or Computer Science.
• 5–7 years of experience in analytics or data science, preferably focused on growth marketing or ecommerce.
• Advanced SQL skills and strong proficiency in Python for data analysis, modeling, and automation.
• Hands-on experience building attribution models and designing experimental measurement frameworks.
• Strong understanding of experimentation design, causal inference, and marketing measurement best practices.
• Must be based in Palo Alto, California, United States.

Nice to have

• Experience with Marketing Mix Modeling (MMM).
• Support for app measurement and mobile attribution initiatives.
• Experience leveraging AI-powered tools to improve analysis and insight generation.

Culture & Benefits

• Opportunity to work in a high-performing team with talent from Stanford, McKinsey, Nike, and other top organizations.
• Mission-driven environment focused on sustainable materials and ethical production.
• Culture that values intellectual curiosity, high standards, and data-driven decision-making.
• Collaborative environment aiming to democratize luxury through radical price transparency.