At a Glance
- Tasks: Own the data platform for commercial decision-making and design high-quality data layers.
- Company: Join ZOE, a dynamic company focused on innovation and collaboration.
- Benefits: Flexible contract with potential for full-time role and opportunities for growth.
- Other info: Fast-paced environment with a focus on learning and development.
- Why this job: Make a real impact by building data solutions that drive marketing success.
- Qualifications: Experience with GTM, JavaScript, and data engineering practices required.
The predicted salary is between 40000 - 50000 € per year.
Contract (4–6 months, duration negotiable). Option to convert to a full-time role by mutual agreement.
You will own the data platform that powers ZOE's commercial decision-making:
- Own how we design high-quality website data layers, feed clean conversion signals into ad platforms, and inform our experimentation on top of that data.
- Design and manage the GTM/sGTM containers and marketing platform conversion signals to ensure the resulting warehouse data quality powers experimentation and bidding decisions.
Join a team that prizes high technical velocity and sits between marketing, engineering, and data. We use short feedback loops to keep our tracking accurate and our experiments trustworthy. This is a hands-on build role. We expect you to write JavaScript, deploy infrastructure, define the data model, and wire it into BigQuery.
Our cutting-edge stack - a taste of what you'll use!
- Data & Infrastructure: GCP (Cloud Run / Docker), BigQuery, dbt, Dagster
- Tracking & Experimentation: GTM / sGTM (Server-side), Optimizely
- Marketing Platform Tools: Meta CAPI, Google Enhanced Conversions, TikTok Events API
- Tools & CI/CD: Braze, Mixpanel, Terraform, GitHub Action, HEX
The impact you’ll make
We move fast, and this 4–6 month contract (duration negotiable) is designed for an architect who wants to build several high-stakes wins from the ground up. At the end of this engagement, there is an option to move to a permanent role by mutual agreement. Success looks like:
- Server-side GTM running in production with MetaCAPI / Google Enhanced Conversions / Mixpanel Server-side ensuring data accuracy and reliability.
- A governed event / data-layer spec used consistently across the web and ad platforms, driving informed decisions for our experimentation pipeline and marketing initiatives.
- Clear documentation and strategy on the infrastructure that’s built so others can build on top of it.
What you’ll do
- Full-stack Google Tag Manager ownership: Strategy, governance, deployment and auditing tag configurations across both client-side and server-side GTM web containers.
- Robust event tracking & data layer quality: Own the direction and partner with front-end engineers to ship custom events that inform onsite experimentation, user journeys and analytical models.
- High-quality data pipelines for Marketing platforms: Build, maintain and improve data pipelines that send signals to Meta, Google, AppsFlyer and other platforms, troubleshooting discrepancies and ensuring data consistency across the marketing stack.
- Data platform for commercial: Build, maintain and improve the end-to-end ELT pipeline within BigQuery and dbt, from raw event ingestion through to analyst-ready data models.
- Privacy & consent: Manage the CMP integration with GTM Consent Mode; ensure no tags fire pre-consent and no PII leaks downstream.
What you’ll bring
- Production experience with GTM and sGTM, including data layer design, event schema implementation, writing custom GTM templates and sGTM client / transform logic.
- Strong JavaScript skills writing custom GTM tags and templates, implementing client-side event schemas, and debugging tracking instrumentation in the browser.
- Experience integrating conversion and value signals with advertising and attribution tools such as MetaCAPI / Google Enhanced Conversions / server-side event APIs in production.
- Proven experience with dbt and analytics-engineering practices to build best-in-class data models.
- Experience in creating a website data layer that informs marketing, commercial and product teams.
- Working knowledge of cookie consent management (e.g. OneTrust) and familiarity with multi-region / GDPR + CCPA.
Nice-to-have
- Experience with Mixpanel, Optimizely and/or Braze.
- Healthcare, D2C subscription, or other regulated-industry experience.
- Website experimentation literacy and what makes an A/B readout trustworthy.
Ready to thrive? We want to hear from you
The experience, skills, and attributes we’ve outlined are what we believe will help someone truly thrive in this role. However, we understand that talent comes in many forms. 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. We are dedicated to fostering growth and providing opportunities for you to learn and develop alongside us.
Commercial Analytics Engineer (4-6 months contract) employer: ZOE
ZOE is an exceptional employer that fosters a dynamic and innovative work culture, particularly for the Commercial Analytics Engineer role. With a focus on high technical velocity and collaboration across marketing, engineering, and data teams, employees are empowered to take ownership of their projects while benefiting from opportunities for professional growth and the potential for contract-to-permanent transitions. Located in a vibrant environment, ZOE offers a unique chance to make a significant impact through cutting-edge technology and a commitment to employee development.
StudySmarter Expert Advice🤫
We think this is how you could land Commercial Analytics Engineer (4-6 months contract)
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to GTM and data pipelines. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to commercial analytics. Be ready to discuss how you’ve tackled challenges in past roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates like you!
We think you need these skills to ace Commercial Analytics Engineer (4-6 months contract)
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with GTM, JavaScript, and data pipelines. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Show Your Passion:Let us know why you’re excited about this role and our mission at ZOE. A genuine enthusiasm for the work we do can really make your application stand out. Share your thoughts on how you can contribute to our team!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the Commercial Analytics Engineer position.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at ZOE
✨Know Your Tech Stack
Familiarise yourself with the tools mentioned in the job description, like GTM, BigQuery, and JavaScript. Be ready to discuss how you've used these technologies in past projects, as this will show your hands-on experience and technical prowess.
✨Showcase Your Problem-Solving Skills
Prepare examples of challenges you've faced in data management or analytics and how you overcame them. This role requires a proactive approach, so demonstrating your ability to troubleshoot and innovate will impress the interviewers.
✨Understand the Business Impact
Be prepared to explain how your work in analytics can drive commercial decisions. Think about how high-quality data layers and accurate tracking can influence marketing strategies and overall business success.
✨Ask Insightful Questions
At the end of the interview, ask questions that show your interest in the company's goals and challenges. Inquire about their current data strategies or how they measure the success of their experiments. This not only shows your enthusiasm but also helps you gauge if the role is the right fit for you.
