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

Apply Now

Insight Analyst

Blue Pelican
London
1 year ago
Applications closed

Related Jobs

View all jobs

Director Analyst, Data Science, AI/Machine Learning for Leadership Expertise (Remote Europe)

Director Analyst, Data Science, AI/Machine Learning for Leadership Expertise (Remote Europe)

Director Analyst, Data Science, AI/Machine Learning for Leadership Expertise (Remote Europe)

Data Scientist / Analyst

Data Scientist / Analyst

Junior Developer/Analyst, Data Science and Analytics - Macquarie Group

Insight Analyst
Location:Hybrid working - Central London offices (West End) – 3 days per week
Salary:£30,000 to £35,000 plus benefits

You’ll be joining a data consultancy, one who specialises in helping businesses drive value from their customer data. This is achieved principally through marketing related fields such as optimisation of marketing spend, CRM insight and media analytics. As well as digital analytics, social listening, consumer insights and research projects.

You’ll be joining a specialist insight function which works with a broad array of first and 3rd party data, as well as tools and platforms to provide analysis, insight and reporting which helps inform client strategy and feeds into pitch materials.

This is a truly varied role, and something which will give you a really unique and interesting toolset to learn and evolve your career from due to its diversity.

You’ll be getting under the skin of what people are talking about and deriving insights from that from across platforms like social media, utilising listening tools, or working with digital analytics tools. Working with recognised research and intelligence platforms like YouGov and GWI, or pulling data from a client’s data warehouse and analysing first party customer behavioural data to provide actionable insight.

From the salary, you can see we’re not looking for a lot of commercial experience to be demonstrated with this role, but we do require some. In reality that experience can be within reporting, dashboarding and visualisations. As that’s going to be a critical capability needed within the role to start off with. Along with the natural ability to story tell narratives and insights identified from those reports.

In addition, we’re interested in you being able to demonstrate some coding skills, ideally with SQL – principally extraction and manipulation of data from within relational databases.

This is also a role which will suit you if you’ve got that naturally inquisitive nature and find yourself wanting to probe deeper into data to find out the why’s and what’s going on under the skin when you find behavioural anomalies or strange things which don’t seem to correlate when you’re analysing results.

The rest of this role is something which will can be learned, and you will be get a lot of opportunity to develop an array of skills and technical abilities. Including learning all those various data and analytics platforms mentioned previously. Coupled with getting to be involved in a wide array of statistical, analytical and research based project types.

When looking at career development paths with this firm, they’re able to support a variety of options for you, since the company has teams which cover research, analytics, data science, BI and reporting, CRM and more. So coming from a role like this where you’re going to be building a broad base of skills touching on so many of these, you’re going to be spoilt for choice in the future on which path you opt to take.

Experience required

Have commercial experience ideally working with Power BI developing dashboards, visualisations and reports, ideally working with marketing, customer or CRM related data Some knowledge/experience with coding in SQL – extraction and manipulation skills principally, and working with relational databases Able to draw meaning and insights from data and analysis output, which you can translate into a meaningful story for business audiences Good Maths/Stats background supported through education Keen to learn and interested in developing yourself in a role which is going to give you a lot of breadth across analytics, research, reporting and insight capabilities, including the respective tools and platforms for all these.

Applicants must have the ability to live and work in the UK unrestricted.

Unfortunately the business isn’t in a position to provide sponsorship. This extends to PSW visas too, as unfortunately they will require Tier 2 at the end of their term.

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.