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- Tasks: Transform data into actionable insights to improve UK health and care systems.
- Company: Leading medical technology organisation making a real impact.
- Benefits: Competitive salary, collaborative culture, and opportunities for growth.
- Why this job: Join a passionate team and use your skills to enhance healthcare accessibility.
- Qualifications: Experience in data analysis, SQL, and data visualisation required.
- Other info: Fun, dynamic environment with a focus on creativity and learning.
The predicted salary is between 28800 - 48000 £ per year.
Connecting talent with opportunities in IT and Digital for a leading medical technology organisation. Are you a 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 Data Analyst with SQL and data visualisation skills to join our talented and innovative team. This role sits within a part of the UK Advisory team responsible for taking large data sets from various sources and converting them into meaningful insights. Your main focus will be 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 on 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 Data Analyst with Excel, SQL and you will be comfortable working in a team. 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.
- Python (preferred), RStudio or other statistics package experience.
- SQL (MS SQL Server or Databricks preferred).
Data Analyst in London employer: OptumUK
Contact Detail:
OptumUK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common data analyst questions. Brush up on your SQL and data visualisation skills, and be ready to showcase your analytical thinking with real-world examples.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and interests. Check out our website for roles that excite you and fit your skill set – we’re all about making an impact!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in leaving a positive impression. It shows you’re genuinely interested and keeps you on their radar.
We think you need these skills to ace Data Analyst in London
Some tips for your application 🫡
Show Your Data Skills: Make sure to highlight your experience with SQL and data visualisation in your application. We want to see how you've used these skills to create actionable insights in your previous roles.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Data Analyst role. Mention your experience with population health management and how it aligns with our mission.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use straightforward language to explain your analytical methods and how they’ve benefited past projects. We appreciate clarity!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to make an impact in healthcare!
How to prepare for a job interview at OptumUK
✨Know Your Data Tools
Make sure you brush up on your SQL and data visualisation skills before the interview. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Understand the Healthcare Context
Since this role is focused on improving health and care systems, do some research on current trends and challenges in the UK healthcare sector. Being able to speak knowledgeably about how data can impact decision-making in this field will impress your interviewers.
✨Showcase Your Collaborative Spirit
This organisation values teamwork, so be prepared to share examples of how you've successfully collaborated with others in past roles. Highlight your ability to communicate complex data insights to non-technical audiences, as this will be crucial in your new role.
✨Emphasise Your Growth Mindset
Demonstrate your eagerness to learn and adapt by discussing any new skills or technologies you've recently picked up. This shows that you're not just a data analyst, but someone who is committed to continuous improvement and innovation.