Responsibilities

• DTC & Amazon Performance Analysis
• Own marketing analytics across DTC and Amazon, including paid acquisition, retention, LTV, and channel-level performance.
• Build and maintain attribution models for DTC acquisition that account for multi-touch and organic effects—not just last-click.
• Analyze Amazon performance data including traffic, conversion, ad spend efficiency, and organic/paid contribution.
• Identify performance trends and surface actionable insights to growth leads on a regular cadence.
• A/B Testing & Experimentation
• Support the Growth Marketing and Ecommerce teams on the design and analysis of A/B and multivariate tests across paid channels, email, website, and Amazon storefronts.
• Set standards for test design, sample sizing, and statistical significance across the marketing team.
• Be the resident expert on when a test result is meaningful and when it isn't—and communicate that clearly.
• Ecommerce & Digital Store Analytics

Requirements

• Mid-senior level experience in marketing analytics or growth analytics at a DTC or ecommerce brand.
• Strong command of DTC acquisition data: attribution, CAC, ROAS, and what each does and doesn’t tell you.
• Expert-level fluency in A/B testing: experiment design, power analysis, statistical significance, and communicating results to non-technical stakeholders.
• Experience building and maintaining marketing dashboards and connecting data sources (e.g., using tools like Looker, Tableau, Supermetrics, Hex, or similar).
• Proficiency in SQL; comfort with Python or R is a strong plus.
• Experience with retention and LTV analysis, including cohort modeling.
• Strong written and verbal communication—you can explain what the data means, not just what it says.
• An interest in building expertise in qualitative research methodologies and analysis.

Preferred

• Familiarity with Amazon marketing and sales data (Seller Central, Brand Analytics, AMC, or similar) is a plus; for someone with DTC experience, it’s not hard to learn.
• Experience in qualitative research methods (surveys, user interviews, focus groups).
• Familiarity with incrementality testing platforms (Northbeam, Haus, Triple Whale Compass, or similar).
• Experience building or contributing to media mix models.
• Background in consumer packaged goods (CPG) or subscription commerce.
• Experience with brand measurement frameworks—brand lift, awareness-to-conversion modeling, or long-lag attribution.
• Comfort with data pipeline or automation tooling (dbt, Fivetran, Zapier, etc.).
• Experience working in a startup or small-team environment where scope is broad and resourcefulness counts.

Benefits

• We believe in a life well-lived. ZBiotics offers competitive benefits for a life outside of work, including: health / dental, 401(k) matching, a flexible, unlimited paid time off policy , 16 weeks fully paid parental leave, a home office stipend, transit benefits for those in the San Francisco Bay Area, and access to co-working office space if located in or visiting San Francisco.