Future Tech Jobs Future Tech Jobs

Data Analyst (Tagging & Tracking)

Open Consulting
Manchester, United Kingdom
3 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required
Spotlight

Senior ML Compiler Engineer

Fractile Bristol, United Kingdom

Data Scientist

Randstad Technologies Recruitment London, United Kingdom

Data Scientist

Advertising Standard Authority Old Street, London, United Kingdom
£45,000 – £60,000 pa Hybrid

Data Scientist

Guidant Global London, United Kingdom
£600 – £850 pd On-site Clearance Required

Operations Analyst, User Operations (Trust & Safety) - EMEA

OpenAI London, United Kingdom
Hybrid

Treasury Back Office Analyst

Ocado United Kingdom

Senior Forensic Data Analytics Manager

Brimstone-Recruitment Dublin, City Of Dublin, Ireland
Posted
11 Feb 2026 (3 months ago)
Share
Save job
Create job alert
Role Purpose

The Analytics Associate Partner will serve as the guardian of data quality, ensuring that every user interaction is captured accurately through robust tracking setups. You will own the configuration of tag management & analytics platforms, bridging the gap between client websites and our reporting platforms by designing custom tracking solutions and maintaining rigorous data integrity standards.


Role Responsibilities

  • Design and deploy advanced tracking frameworks using tag management & analytics platforms, ensuring all client KPIs are captured with precision across web and app environments.


  • Lead the technical audit process for new and existing clients, identifying broken tags, data discrepancies, and tracking gaps, and executing the necessary remediation roadmaps.


  • Define clear dataLayer specifications for client developers, providing detailed documentation to ensure the website code supports the tracking requirements.


  • Collaborate with the Data Visualisation and Engineering teams to ensure the data flowing into BigQuery and BI tools is structured, accurate, and ready for analysis.


  • Manage Consent Mode and Privacy compliance configurations, ensuring tracking setups adhere to GDPR/CCPA regulations without sacrificing critical data visibility.


  • Conduct rigorous Quality Assurance and debugging using tools like Tag Assistant, Developer Console, and network requests before any container publication.


  • Act as the technical point of contact for internal non-technical teams, explaining complex tracking concepts in simple terms and troubleshooting live data issues proactively.


  • Stay ahead of the cookie-less future, assisting in the setup of Server-Side GTM and first-party data strategies.



Your KPIs / Outputs

  • Ensure 100% Data Trust: Maintain high data quality scores by minimizing tracking errors, discrepancy rates, and broken tags across client portfolios.


  • Deployment Efficiency: Deliver tracking implementations and container updates within agreed SLAs to support timely campaign launches.


  • Technical Documentation: Produce clear, standardized dataLayer specs and solution design documents for every project to minimize developer friction.


  • Innovation in Collection: Proactively identify opportunities to capture richer data attributes (e.g., granular e-commerce data, user properties) to enhance downstream reporting.


  • Compliance: Ensure all tracking deployments define and respect user consent states (Consent Mode) to protect client liability.



Role Details

Reports to: Analytics Partner


Responsible for: Managing GTM containers, GA4 property configuration, dataLayer auditing, and technical implementation quality.


Location: Manchester/London& Hybrid


Hours / Days: 37.5 hours, over 5 days per week.


Contract basis: Permanent.


To be successful in this role

  • Technical Proficiency: You are comfortable working in the browser console, reading code, and understanding how a webpage functions (DOM elements, JSON, HTML).


  • Attention to Detail: You have an obsessive approach to QA, ensuring that data is valid before it ever reaches a report.


  • Problem Solver: You enjoy the puzzle of debugging why a tag didn't fire or why a specific event parameter is missing.


  • Communicator: You can translate technical concepts and work to non-technical stakeholders.



Skills & Experience required
Must Have

  • Deep proficiency in Google Tag Manager (GTM): Triggers, Variables, Custom HTML/JS tags, and complex container management.


  • Advanced GA4 Knowledge: Configuration, Admin settings, Exploration reports, and debugging.


  • Experience with QA Tools: Tag Assistant, GA Debugger, Chrome Developer Tools (Network/Console tabs).


  • Understanding of dataLayers: How to read, push to, and validate dataLayer objects.



Desirable

  • Server-Side GTM: Experience setting up or managing server-side containers.


  • Experience with other Tag Management Systems (e.g. Tealium, Adobe Launch).


  • Experience with other Analytics Platforms (e.g. Adobe Analytics).


  • Consent Management Platforms (CMPs): Experience integrating tools like OneTrust or Cookiebot with GTM.


  • Looker Studio: Basic ability to visualize data to prove tracking accuracy.



Expectations for all Open Partners Employees

  • Follow our Employee Handbook


  • Live by our values


    • Smarter - Aim high, train hard, embrace next
    • Faster - Learn fast, adapt fast, act fast
    • Better - Think, say and do what’s best



#J-18808-Ljbffr

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Products

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

Jobs

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

🍪 Basic, anonymous analytics (aggregate counts only, never shared) are always on. Accept to also enable third-party tools — Google Analytics, Microsoft Clarity, Mixpanel, Leadfeeder — which help us match you with relevant Machine Learning roles. We never sell your data or use it for cross-site advertising. See our Cookie Policy.