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 wee

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About Us:

ME+EM is one of the UKs 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 its fun, with social activities and biannual parties. We pride ourselves on being approachable, supportive, and welcoming and ensure that everyones 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+EMs 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.

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.

Employee 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 enriches our workforce and strengthens our organisation. Therefore, we encourage minorities, LGBTQ+ candidates, and individuals with disabilities to apply for opportunities within our company.







Please email

dex.moore@meandem.com

should you require any adjustments needed to take part in this recruitment process.

Please note, due to the large number of applications we receive, we can only reply to those that are successful to the next stage.