Senior Insights Analyst

Versus Arthritis
London
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Lead Analyst - Data Science_ UK

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

TikTok Shop - Senior Data Scientist, Operations

Senior Data Scientist

Location (UK):

Office Hybrid* - LondonHours:

Full-time, 35 hours per weekContract type:

2 Years Fixed TermTravel:

Occasional travel to our officesJoin us and use your skills, knowledge, passion and energy to help us achieve a future free from arthritis.

At Versus Arthritis, we won’t rest until everyone with arthritis has access to the treatment and care they need to live the life they choose with real hope of a cure in the future.The Chief Executive’s Office supports the work of the Chief Executive Officer (CEO) in leading the charity efficiently and effectively, as well as working with trustees, the Senior Leadership Team (SLT), staff and volunteers from across the charity.

The Chief Executive’s Office is also home to our UK Advocacy and Health Intelligence department who are responsible for leading UK strategy development and delivery across advocacy (policy, public affairs, campaigning) and health intelligence, working closely with colleagues in the Devolved Nations to ensure effective delivery of the strategy in each nation.About the roleThe Senior Insights Analyst will be responsible for developing and delivering robust quantitative research approaches to gathering insights from people with arthritis, to drive the charity’s advocacy agenda to deliver evidence-based impact for people with arthritis. Additionally, the role will provide expertise and support for insight generation across the organisation, managing processes for robust quality assurance.About youIf your knowledge, skills and experience include the following then we’d love to hear from you:Experience and in-depth knowledge of survey design, delivery and analysis in a health-related field.Demonstrable experience in leading a survey project from start to finish, including the design and interpretation of surveys to deliver against a specific goal, including the development of outputs to communicate findings.Experience in embedding robust quality assurance and data governance processes into analytical projects.Skilled in the statistical analysis of survey data, with experience in the use of statistical software for analysis and data visualisation, with the capacity to learn new software if required (e.g. R, STATA, SPSS, PowerBI).Educated to Masters level in a relevant field and/or can consistently demonstrate equivalent expertise in the methodology and interpretation of survey-based research.Excellent written communication skills, to be able to structure research findings and communicate insights clearly and effectively to a range of audiences and in a range of formats (e.g. briefing documents, branded reports, data visualisations).Ability to proactively identify, review and evaluate relevant research literature, to shape the scope of projects and inform the approach and methods used.Ability to work collaboratively and flexibly; with the ability to understand requirements from teams with varied expertise and understanding and provide technical expertise, translating these requirements into deliverable and impactful insight-generating surveys.*As a hybrid worker the expectation is that you will spend around 40% of your working time in our office spaces or working in community settings. As an inclusive employer we will consider home-based working for anyone where office-based hybrid working would be a barrier to being able to work for us, for example for someone living with a long-term health condition or disability.Application deadline and shortlisting:We advise candidates to apply early as we reserve the right to close applications ahead of this date.Only shortlisted candidates will be contacted.We do not wish to receive contact from agencies or media sales.Please note that we do not use Artificial Intelligence (AI) during our recruitment and selection processes, and we would respectfully ask that you also refrain from using AI during the selection process. Whilst we do recognise that AI may be a beneficial tool for some when aiding research and preparation for an application or interview, we want to maintain a fair, inclusive and positive recruitment experience at Versus Arthritis where candidates can feel supported to demonstrate their experience, knowledge, and skills without the use of AI generated answers.InterviewInterviews: Date to be confirmed at Versus Arthritis London Office.As a Disability Confident Employer, we guarantee you will be offered an interview if you disclose a disability and demonstrate sufficient evidence within your application that you meet the essential criteria for this role. We will also make any reasonable adjustments you may require for your interview.About usWe have made a commitment in our Diversity and Inclusion Strategy to increase the diversity of our charity and we welcome candidates from a wide variety of backgrounds and experiences. We want our employees, volunteers and trustees to represent the broad diversity of the communities of which we are a part.

There are over 10 million people living with arthritis. That’s one in six, with over half of those living in pain every single day. The impact is huge as the condition slowly intrudes on everyday life – affecting the ability to work, care for a family, to move free from pain and to live independently. Yet arthritis is often dismissed as an inevitable part of ageing or shrugged off as ‘just a bit of arthritis’. We don’t think that this is OK. Versus Arthritis is here to change that.Versus Arthritis is committed to keeping children, young people and vulnerable adults safe from harm. During the recruitment process we will undertake safer recruitment practices and relevant checks to ensure applicants are suitable to work with children, young people and vulnerable adults.

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 Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.