🚀 About the Role

Contract length: 4–6 months (with an option to convert to a full-time role by mutual agreement).

We are looking for a Growth Analytics Engineer to own the data platform that powers ZOE's commercial decision-making.

This is a highly impactful, hands-on role sitting at the intersection of marketing, engineering, and data. You won't just be writing specs for someone else, you will be writing JavaScript, designing high-quality data layers, and wiring clean conversion signals straight into BigQuery via dbt. We prize high technical velocity, short feedback loops, and data accuracy.

💻 Our Stack

• Tracking & MarTech: GTM / sGTM (Server-side), Meta CAPI, Google Enhanced Conversions, TikTok Events API, Optimizely

• Data & Analytics Engineering: BigQuery, dbt

• We also use: GCP (Cloud Run/Docker), Dagster, Terraform, Braze, Mixpanel, GitHub Actions

📈 The Impact You’ll Make

This engagement is designed for an builder who wants to lock in several high-stakes wins from the ground up:

• Production sGTM: Get server-side GTM running smoothly with MetaCAPI, Google Enhanced Conversions, and Mixpanel to ensure rock-solid data reliability.

• Data Governance: Establish a clean event/data-layer spec used consistently across our web and ad platforms to power our experimentation pipeline.

• Clean ELT Pipelines: Maintain and improve the end-to-end data pipeline within BigQuery and dbt, turning raw event ingestion into analyst-ready data models.

• Privacy First: Manage CMP integrations with GTM Consent Mode, ensuring no tags fire pre-consent.

🧠 What You’ll Bring

Must-Haves:

• Deep sGTM & GTM Expertise: Production experience with server-side GTM, data layer design, event schema implementation, and writing custom templates.

• Strong JavaScript Skills: Comfortable writing custom GTM tags, implementing client-side event schemas, and debugging tracking instrumentation in the browser.

• Conversion Signal Ingestion: Proven experience integrating signals with tools like MetaCAPI, Google Enhanced Conversions, or server-side event APIs.

• Analytics Engineering Fluency: Strong experience with dbt and BigQuery to build clean, governed, best-in-class data models.

• Privacy Mindset: Familiarity with cookie consent management (e.g., OneTrust) and multi-region compliance (GDPR/CCPA).

Nice-to-Haves:

• Experience or familiarity with DevOps/Infra tools (Terraform, GCP, Dagster, GitHub Actions).

• Experience with Mixpanel, Optimizely, or Braze.

• Background in D2C subscription, healthcare, or regulated industries.

✨ Our Hiring Journey

We value your time. We’ve designed a streamlined, 4-step process to get us from "Hello" to "Welcome to the team" as quickly as possible:

• Step 1: 👋 Intro chat with Talent Team (High-energy alignment alignment check)

• Step 2: 🧠 Hiring Manager Interview (Tactical conversation focused on your craft)

• Step 3: 🔄 The Remote Loop (2 to 4 focused interviews assessing technical and collaboration skills)

• Step 4: 🎉 The Finish Line (Offer, equity/benefits breakdown, and onboarding)

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🚀 Ready to thrive? Apply Now

If you are genuinely excited about ZOE's mission and this opportunity, please don't hesitate to apply—even if you don't meet every single requirement listed. We fundamentally value potential and commitment above all else.

ZOE is an equal opportunity employer. If you require any reasonable accommodations during the interview process, just let us know—we are here to support you.

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Not the perfect match? Join ZOE's Talent Community!

If this role isn't the exact right fit, or the timing isn't right, don't let the journey end here. Drop your resume here. When a role opens up that matches your unique superpowers, you'll be the first person we reach out to.

📸 Stay Curious. Follow the Journey.

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