Full Stack Analytics Engineer
Full Stack Analytics Engineer

Full Stack Analytics Engineer

City of London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join us as a Full Stack Analytics Engineer, blending frontend engineering with data management.
  • Company: ME+EM is a fast-growing luxury fashion brand with a vibrant digital presence and flagship stores.
  • Benefits: Enjoy 33 days annual leave, birthday off, generous discounts, and social events.
  • Why this job: Be part of a creative team that values learning, innovation, and fun in a dynamic environment.
  • Qualifications: Strong JavaScript/TypeScript skills and experience with Next.js and Google Tag Manager are essential.
  • Other info: We celebrate diversity and inclusion, welcoming talent from all backgrounds.

The predicted salary is between 36000 - 60000 £ per year.

Job Description

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 week

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

At ME+EM, we pride ourselves on being an entrepreneurial and creative workplace where every team member's contributions are valued. Located in the vibrant White City Place, West London, we offer a dynamic work environment complemented by generous benefits such as 33 days of annual leave, a supportive culture with social events, and ample opportunities for professional growth. Join us to be part of a fast-growing luxury fashion brand that champions diversity and innovation.
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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 ME+EM's digital ecosystem and their current analytics setup. Understanding their specific needs and challenges will help you tailor your discussions during interviews, showcasing how your skills can directly benefit their operations.

✨Tip Number 2

Network with current or former employees of ME+EM on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage in your application process.

✨Tip Number 3

Stay updated on the latest trends in analytics and e-commerce, particularly within the fashion industry. Being knowledgeable about recent developments will not only impress during interviews but also demonstrate your passion for the field.

✨Tip Number 4

Prepare to discuss specific projects where you've implemented analytics tracking or worked with tools like Google Tag Manager and GA4. Having concrete examples ready will help you illustrate your expertise and problem-solving abilities effectively.

We think you need these skills to ace Full Stack Analytics Engineer

Proficiency in JavaScript/TypeScript
Experience with Next.js
Custom analytics tracking implementation
Meta tracking (Pixel, CAPI) expertise
Deep understanding of Google Tag Manager
Event tag configuration skills
Familiarity with GA4 architecture
Knowledge of event-based tracking methodologies
Evaluation of third-party scripts and SDKs
Strong grasp of browser APIs and debugging tools
Experience with test automation frameworks (Jest, React Testing Library, Playwright)
Data model governance knowledge
Experience using GA4 and Content Square
Familiarity with Ometria and Global-e
Exposure to A/B testing platforms
Experience with consent management tools (e.g. OneTrust)
Background in e-commerce, particularly in fashion or luxury retail

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with JavaScript, TypeScript, and Next.js. Include specific examples of how you've implemented custom analytics tracking in previous roles, as this is crucial for the Full Stack Analytics Engineer position.

Craft a Compelling Cover Letter: In your cover letter, express your passion for data analytics and e-commerce, particularly within the fashion industry. Mention how your skills align with ME+EM's goals and culture, showcasing your enthusiasm for contributing to their success.

Showcase Relevant Projects: If you have worked on projects involving Google Tag Manager, GA4, or any analytics SDKs, be sure to include these in your application. Describe your role and the impact of your work, as this will demonstrate your hands-on experience.

Highlight Collaboration Skills: Since the role involves working closely with various teams, emphasise your ability to collaborate effectively. Provide examples of past experiences where you successfully worked with product, marketing, or data teams to achieve common goals.

How to prepare for a job interview at ME+EM Ltd

✨Showcase Your Technical Skills

As a Full Stack Analytics Engineer, you'll need to demonstrate your proficiency in JavaScript/TypeScript and Next.js. Be prepared to discuss specific projects where you've implemented custom analytics tracking and how you approached challenges in your codebase.

✨Understand the Company’s Digital Ecosystem

Familiarise yourself with ME+EM's digital presence and their approach to analytics. Research their use of Google Tag Manager and GA4, and be ready to discuss how you can contribute to their data integrity and analytics enablement.

✨Prepare for Collaboration Questions

This role involves working closely with various teams. Think of examples from your past experiences where you collaborated effectively with product, marketing, or engineering teams. Highlight how you ensured seamless event instrumentation across customer journeys.

✨Emphasise Your Problem-Solving Skills

Be ready to discuss how you've identified and resolved tracking issues in previous roles. Use specific examples that showcase your ability to troubleshoot using browser dev tools and other validation tools, demonstrating your analytical mindset.

Full Stack Analytics Engineer
ME+EM Ltd

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