Senior Data Analyst

EMIS
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst (12 Month Contract)

Senior Data Analyst - HOTH, Permanent

Senior Data Analyst

The Vacancy


Are you a Senior Data Analyst looking to join an organisation where what you do genuinely makes an impact? This is an opportunity to work on projects where you will create and use actionable insight to make the U.K. health and care systems work better for everyone.


We are looking for a Senior Data Analyst with strong excel and SQL skills to join our talented and innovative team.


This role sits within a part of the UK health analytics team responsible for taking large data sets from various sources and converting them into meaningful insights. Your main focus will be on a with a focus on population health management. You will work closely with our advisory & consultancy colleagues, as well as the clinical team, to provide both analysis and informed opinions on analytical solutions.

We are a collaborative team, we work hard and are passionate about what we do, but we ensure we have fun along the way. If this sounds like something you want to be a part of then apply today!


What you’ll do


We believe in the power of technology to make healthcare faster, better, and more accessible to all, and therefore you will play a key part in supporting us in making it happen!


With this role you must make recommendations based on analysis and provide explanations to our internal and external customers




Other key responsibilities and accountabilities will include;

  • Use business intelligence, data visualisation, query, analytic and statistical software to build solutions
  • Interpret and analyse health and care data in a linked-data solution, to provide analytical support for NHS decision makers
  • Make recommendations based your analysis
  • Create, test and utilise visualisations
  • Support product development as an analytics SME
  • Translate technical concepts in ways that can be understood by a variety of audiences, both verbally and in writing

Who you’ll be


You will have experience working as a Senior Data Analyst familiar with Excel and SQL, and you will be comfortable working in a team. You will also have experience with the NHS and with NHS data.

We want you to be able to have a growth mindset, take ownership and accountability for what you are doing and be keen to learn new skills.


Here, we are advocates for promoting the ability to think freely and creatively. We want you to have a curious nature, looking at improvements and efficiencies


Other key skills we are looking for you to demonstrate include;

  • Strong experience performing data analysis and report development
  • Experience combining analytic methods with advanced data visualisations
  • Look for opportunities for growth and development
  • Healthcare / Pharmacy experience within the NHS
  • Experience in healthcare costs data including SLAM or other local flows, and national tariff payment system, including benchmarking, productivity and cost/benefit analysis

If this sounds like you, then apply today and find out more why EMIS Group Plc is a great place to be!



Equality, Diversity, and Inclusion


At EMIS, we are committed to providing an inclusive, equitable culture where people feel able to bring their whole selves to work and to reach their full potential. This is a foundation stone of EMIS, anchoring the employee cycle from recruitment through to ongoing personal development and genuine, continuous two-way employee engagement, supported by our company values which determine everything we do.


EMIS is an equal opportunities employer, and we welcome applications from all suitably qualified candidates regardless of race, colour, religion, sex, sexual orientation, gender identity or expression, national or ethnic origin, age, disability, protected veteran status, or other characteristics protected by applicable law. We will always work to accommodate individual needs during your application journey. If you require any adjustments, please advise the talent team.

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.

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

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

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

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.