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

Apply Now

Lead Data Insight Analyst

Artis Recruitment
Bristol
6 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Head of Data Science

Head of Data Science

Head of Data Science

Lead Data Insight Analyst required by our market leading, multi-national, consumer tech business based out of Bristol on a hybrid basis. You would need to spend 1-2 days a week onsite but with flexibility.This is a standalone role within the business and will work very closely with the Founder. They need a forward-thinking Lead Data Insight Analyst ensure data is a key driver in shaping the product development and company direction. You will ideally come from high-growth digital environments, demonstrate strong analytical capabilities, and have the confidence to challenge assumptions with data-driven insights.Main Responsibilities: * Conduct in-depth data analysis across all business areas to inform and enhance product development strategies. * Collaborate closely with senior leadership, product, and engineering teams to identify trends, solve challenges, and seize new opportunities. * Develop strong relationships with key stakeholders and contribute to long-term strategic planning. * Use quantitative analysis, data mining, and visualisation techniques to understand user behaviour and provide actionable insights. * Promote a data-driven culture, encouraging best practices in analytics and decision-making. * Lead experimentation initiatives, including A/B testing, predictive modelling, and other analytical methodologies.Ideal Background: * A Degree in a relevant field such as Econometrics, Computer Science, Data Science, Statistics, or similar. * Strong proficiency in SQL and hands-on experience with statistical programming languages such as Python, R, or MATLAB. * Expertise in data visualisation tools, particularly Tableau. * Proven track record of leading data-driven decision-making in high-growth digital businesses. * Experience in experimentation frameworks (A/B testing, multivariate analysis, predictive analytics, etc.). * A problem-solver who thrives in a dynamic, evolving environment and can manage ambiguity effectively. * Excellent communication skills, with the ability to influence and collaborate across teams. * Willingness to travel occasionally as part of a globally connected business.What’s in it for you: * Competitive salary * Discretionary bonus * The opportunity to work in a highly ambitious, fast-paced environment. * A dynamic workplace where innovation and data-driven decision-making are at the heart of everything we do. * A collaborative culture that values initiative, creativity, and continuous learning

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.