Junior Healthcare Data Analyst

BUPA
City of London
2 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst Training Course (Excel, SQL & Power BI)

Junior Data Analyst

Junior / Trainee Data Analyst

Junior IT Support Engineer & Data Analyst

Junior Data Analyst - Power BI / SQL

Data Analyst / Junior Data Scientist

Junior Healthcare Data Analyst

Location: Willow House, Staines or Angel Court, London


Full time, 37.5 hours per week


Hybrid working options available


Permanent Contract


Salary: £35,200 - £41,000


We consider all types of flexibility, including locations, hours and working patterns.


We make health happen

In this role, you will work in Healthcare Analytics. We lead the development of the data and analytics capability for Healthcare and Pathway Management within UK Insurance to support evidence based commissioning of cost-effective, high-quality integrated healthcare.


How you'll help us make health happen:

  • You will provide analytical insights for identifying, developing and optimising our clinical pathways, improving the quality, experience and affordability of the care we commission for our members
  • Analyse consultant and hospital performance, powering the insights behind our guidance to clinicians, and we manage the evaluations of our initiatives to ensure they deliver benefits to Bupa patient
  • You will analyse health data and produce, verify and interpret analytic findings and develop reports. Complex data analytics, statistics and epidemiology on data relating to patient care
  • You will code in R, SAS, SQL and Python, and produce outputs in PowerBI, Excel, R Markdown, among others
  • You will develop an awareness of the health care industry and private medical insurance business as well as gain an understanding of the financial implications that drive business decisions

Key Skills / Qualifications needed for this role:

  • Proficient with Microsoft Office, especially Excel and PowerPoint
  • Experience with statistical packages and software e.g. SQL, R/Python and/or SAS, , as well as visualisation tools such as Power BI
  • Strong analytical, problem-solving, and critical thinking skills
  • Motivated to learn and stretch beyond comfort zone
  • Ability to prioritise and handle multiple tasks simultaneously
  • Ability to work independently and as a member of a team
  • Ability to provide input into, feedback on, and follow a project schedule
  • Excellent verbal and written communication, organisational and interpersonal skills

Benefits

Our benefits are designed to make health happen for our people. Viva is our global wellbeing programme and includes all aspects of our health - from mental and physical, to financial, social and environmental wellbeing. We support flexible working and have a range of family friendly benefits.


Joining Bupa in this role you will receive the following benefits and more:



  • 25 days holiday, increasing through length of service, with option to buy or sell
  • Bupa health insurance as a benefit in kind
  • An enhanced pension plan and life insurance
  • Onsite gyms or local discounts where no onsite gym available
  • Various other benefits and online discounts

Why Bupa?

We're a health insurer and provider. With no shareholders, our customers are our focus. Our people are all driven by the same purpose - helping people live longer, healthier, happier lives and making a better world. We make health happen by being brave, caring and responsible in everything we do.


#J-18808-Ljbffr

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.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

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.