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

Apply Now

European CS Data Analyst

Ottershaw
8 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist, Quantitative Strategies (Asset & Wealth Management)

Data Scientist, Quantitative Strategies (Asset & Wealth Management)

Data Scientist (Information Retrieval)

Machine Learning Engineer

Machine Learning Engineer

Senior Machine Learning Engineer

Position: European CS Data Analyst
Location: Chertsey
Salary: On application
Duration: Ongoing
Hours: Monday-Friday, 9am-5:30pm

Overview of a European CS Data Analyst
As a European CS Data Analyst you'll be encompassing customer contact centres, service engineers, online support, Quality Assurance laboratories and spare parts logistics, the remit of the European CS headquarter is diverse and dynamic.

Responsibilities of a European CS Data Analyst
• Analyse data to identify trends, new opportunities, and monetization possibilities for the organization.
• Improve and automate code bases, manage audience dashboards, and build performance reporting templates.
• Track and interpret partner performance using multiple data sources, providing regular reports and clear recommendations to stakeholders.
• Manage analytics requests, translate business requirements into SQL queries, and present findings in PowerPoint or Excel reports.
• Lead system and process implementations to enhance operational efficiencies.

Key competencies of a European CS Data Analyst
• Extensive experience in data analysis, business analysis, or data science, with proficiency in SQL and familiarity with large relational databases.
• Degree in computer science, engineering, or a related quantitative discipline, such as economics or mathematics.
• Strong understanding of customer service (CS) and experience with analytic tools like Tableau or Power BI.
• Excellent communication, presentation, and teamwork skills, with a structured, organized, and detail-oriented approach.
• Ability to analyse data, identify trends, and clearly articulate insights, especially in relation to CS data, while handling pressure and solving problems effectively.

Benefits:
• Generous holiday entitlement, plus additional birthday leave and bank holidays.
• Staff sales discount, Reward Plus shopping discount, and volunteering days.
• Government pension auto-enrolment and pension contribution from 12 weeks.
• Subsidized staff restaurant, onsite parking, and free shuttle bus service (from Weybridge & Woking Station)

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.