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- Tasks: Join us as a Full Stack Analytics Engineer, blending frontend engineering with data management.
- Company: MEEM is a fast-growing luxury fashion brand with a vibrant digital presence and flagship stores.
- Benefits: Enjoy 33 days of annual leave, birthday off, and generous discounts for staff and friends.
- Why this job: Be part of a creative team that values learning, fun, and making data-driven decisions.
- Qualifications: Strong JavaScript/TypeScript skills and experience with Next.js and Google Tag Manager are essential.
- Other info: We celebrate diversity and inclusion, ensuring everyone feels welcome and valued.
The predicted salary is between 36000 - 60000 £ per year.
Job Role: Full Stack Analytics Engineer
Reporting to: Senior Software Engineer
Location: Head Office, White City Place, West London
Contract type: Full Time, 37.5 hours per wee k
About the Company:
ME+EM is one of the UK’s fastest-growing luxury fashion brands. In addition to a thriving global digital presence, we operate flagship stores in London and Edinburgh, concessions within Harrods and Selfridges, and have recently expanded with new store openings in the U.S.
At ME+EM we are an entrepreneurial, creative, and passionate group of people. We work hard, are enthusiastic to learn and are not afraid to take risks. Everyone contributes to our success at all levels, and that precisely what makes being a member of the team so rewarding.
Our office and stores are always busy and fast paced, but we work just as hard to make sure it’s fun, with social activities and biannual parties. We pride ourselves on being approachable, supportive, and welcoming and ensure that everyone’s hard work is rewarded. It takes all these things to build a strong, successful business and our door is always open to new talent ready to contribute to our growth and evolution.
About the Role:
We are seeking a Full Stack Analytics Engineer to drive best-in-class instrumentation, analytics enablement, and data integrity across ME+EM’s digital ecosystem. This hybrid role blends frontend engineering (Next.js) with data pipeline integration and management of GTM, ensuring our business can make fast, confident, and data-informed decisions. You are responsible for building and maintaining our digital analytics architecture, working hands-on across our codebase and tag management platform to ensure accurate, consistent, and privacy-conscious tracking of user behaviour.
Responsibilities:
Analytics Instrumentation & Implementation:
- Design, implement, and maintain custom analytics tracking within our Next.js website.
- Build and standardise event tracking frameworks and reusable utilities within the codebase.
- Collaborate with Software Engineers to ensure seamless event instrumentation across the entire customer journey.
Data Layer & Tag Management:
- Own and evolve the dataLayer schema to support consistent, scalable tracking across analytics platforms.
- Align data structure with stakeholder needs across product, engineering, and marketing, while supporting business-wide measurement frameworks.
- Maintain and troubleshoot data flows across Google Tag Manager (GTM) and the ME+EM codebase.
- Identify and resolve tracking issues using browser dev tools, proxy software, and automated validation tools.
Platform Integration:
- Integrate and configure analytics SDKs (GA4, Meta Pixel, Segment, etc.) via code and tag management systems.
- Contribute to the development of server-side tagging architecture and event streaming where needed.
Collaboration & Governance:
- Work closely with product, growth marketing, and data teams to define tracking plans and execute accurate implementations.
- Document event schemas, data contracts, and tracking decisions to support long-term consistency and scalability.
- Support privacy compliance efforts including cookie control, GDPR adherence, and customer data handling best practices.
- Manage and review third-party digital analytics audits as required.
Qualifications:
- Strong proficiency in JavaScript/TypeScript and hands-on experience with Next.js.
- Proven ability to implement custom analytics tracking within production codebases.
- Experience with Meta tracking (Pixel, CAPI) for both online and offline events.
- Deep understanding of Google Tag Manager (including server-side containers) and event tag configuration.
- Familiarity with GA4 architecture and event-based tracking methodologies.
- Skilled in evaluating third-party scripts and SDKs for performance and site speed impact.
- Strong grasp of browser APIs, cookies, storage, and debugging tools (e.g. DevTools, Tag Assistant).
- Experience with test automation frameworks like Jest, React Testing Library, and Playwright.
- Knowledge of data model governance and event schema best practices.
- xperience using GA4 and Content Square. Familiarity with Ometria and Global-e.
- Exposure to A/B testing and experimentation platforms.
- Experience with consent management tools (e.g. OneTrust). Background in e-commerce, particularly within fashion or luxury retail.
Skills:
- Strong proficiency in JavaScript/TypeScript and hands-on experience with Next.js.
- Proven ability to implement custom analytics tracking within production codebases.
- Experience with Meta tracking (Pixel, CAPI) for both online and offline events.
- Deep understanding of Google Tag Manager (including server-side containers) and event tag configuration.
- Familiarity with GA4 architecture and event-based tracking methodologies.
- Skilled in evaluating third-party scripts and SDKs for performance and site speed impact.
- Strong grasp of browser APIs, cookies, storage, and debugging tools (e.g. DevTools, Tag Assistant).
- Experience with test automation frameworks like Jest, React Testing Library, and Playwright.
- Knowledge of data model governance and event schema best practices.
- Experience using GA4 and Content Square.
- Familiarity with Ometria and Global-e.
- Exposure to A/B testing and experimentation platforms.
- Experience with consent management tools (e.g. OneTrust).
- Background in e-commerce, particularly within fashion or luxury retail.
Benefits:
- 33 days annual leave for full time employees (25 days holiday + 8 bank holidays).
- A day off to celebrate your birthday.
- Pension Scheme.
- Group Life Insurance.
- Employee Assistance Programme (EAP).
- Length of Service Award.
- Refer a Friend Scheme.
- Staff uniform for retail employees.
- Generous Staff and Friends and Family Discount.
- Annual Volunteer Day.
- Cycle to Work Scheme.
- Tech Scheme. Eye Care Vouchers.
- Real Living Wage Employer.
- Employee led committees.
- Social events and biannual parties.
- Enhanced maternity and paternity package after 2 years of service.
ME+EM is an equal opportunities employer committed to fostering and preserving a culture of diversity, equality, and inclusion in our workforce. As an equal opportunities’ employer, we do not discriminate against applicants based on race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We believe that diversity
Full Stack Analytics Engineer employer: ME+EM Ltd
Contact Detail:
ME+EM Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Stack Analytics Engineer
✨Tip Number 1
Familiarise yourself with MEEM's brand and values. Since they pride themselves on being entrepreneurial and creative, showcasing your own innovative projects or experiences in your application can help you stand out as a candidate who aligns with their culture.
✨Tip Number 2
Brush up on your skills with Next.js and Google Tag Manager. Given the technical requirements of the role, demonstrating your proficiency through personal projects or contributions to open-source can provide concrete examples of your capabilities during interviews.
✨Tip Number 3
Network with current or former employees of MEEM. Engaging with them on platforms like LinkedIn can give you insights into the company culture and expectations, which can be invaluable when preparing for interviews.
✨Tip Number 4
Prepare to discuss your experience with data integrity and privacy compliance. As this role involves ensuring GDPR adherence, being ready to share specific examples of how you've handled data privacy in past projects will demonstrate your suitability for the position.
We think you need these skills to ace Full Stack Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with JavaScript/TypeScript and Next.js, as these are crucial for the Full Stack Analytics Engineer role. Include specific projects where you've implemented custom analytics tracking.
Craft a Compelling Cover Letter: In your cover letter, express your passion for the fashion industry and how your skills align with MEEM's mission. Mention your familiarity with tools like Google Tag Manager and GA4, and how you can contribute to their analytics architecture.
Showcase Relevant Experience: When detailing your work experience, focus on roles where you've collaborated with product and marketing teams. Highlight any experience with data governance and privacy compliance, as these are important aspects of the job.
Demonstrate Your Problem-Solving Skills: Include examples of how you've identified and resolved tracking issues in previous roles. This will show your ability to troubleshoot and maintain data integrity, which is key for the position at MEEM.
How to prepare for a job interview at ME+EM Ltd
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in JavaScript/TypeScript and Next.js during the interview. Be prepared to discuss specific projects where you've implemented custom analytics tracking, as this will demonstrate your hands-on experience.
✨Understand the Company Culture
MEEM values creativity, enthusiasm, and a willingness to learn. Show your passion for the fashion industry and how you can contribute to their dynamic team. Mention any relevant experiences that align with their entrepreneurial spirit.
✨Prepare for Technical Questions
Expect questions related to Google Tag Manager, GA4 architecture, and event-based tracking methodologies. Brush up on these topics and be ready to explain your thought process when troubleshooting tracking issues or implementing data layers.
✨Demonstrate Collaboration Skills
Since the role involves working closely with product, marketing, and data teams, be prepared to discuss your experience in collaborative environments. Share examples of how you've successfully worked with cross-functional teams to achieve common goals.
