Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Web Analytics Specialist

Kingston upon Thames
11 months ago
Applications closed

Related Jobs

View all jobs

BI & Data Analyst - Power BI

BI & Data Analyst - Power BI

Lead R Engineer / Data Scientist - Integrated Pest Management & Soil Science

Digital Marketing & Data Analyst

Data Scientist/Software Engineer (AI and Computer Vision)

Data Scientist/Software Engineer (AI and Computer Vision)

OVERVIEW:

An Award-Winning Digital Agency. They have a global reach across North America and Europe. They specialise in everything digital from Paid Media, Brand strategy, web builds, data intelligence

Due to the continued growth they are looking for an experienced Data Analyst to join the team

Role & responsibility

Work alongside data scientists to champion data and its impact on decision making throughout the agency.
Collect, clean, and analyse large datasets from various sources to extract actionable insights.
Utilise predictive modelling to forecast future trends, customer behaviour, and campaign performance.
Develop predictive analytics models and apply to client data sets, supporting data-driven decision making and activity optimisation.Requirements:

Has proven experience (2+ years) in a data analysis role, preferably within an agency environment.
Has a level of proficiency in data collection, integration, and analysis using tools like SQL, Python, or R.
Is experienced with data visualization tools such as Tableau, Power BI, Google Data Studio.
Has experience working with analytics technologies such as GA4, Adobe Analytics and associated tag management platforms (GTM, Tealium, Adobe Launch).
Has excellent communication skills to effectively present data insights and recommendations to stakeholdersBENEFITS:

As a Data Analyst the salary is £35,000-£45,000 (DOE) and comes with an excellent chance for career progression.

NEXT STEPS: If this is the right opportunity for you then please apply to this advert with an updated copy of your CV or contact Martin Shardlow - KRG - (phone number removed) All applications are dealt with in the strictest of confidence

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.