At a Glance
- Tasks: Transform complex data into insights that drive healthcare innovation and improve patient outcomes.
- Company: Join UCLPartners, a leader in health and care innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative culture with exposure to diverse health programmes.
- Why this job: Make a real-world impact on health systems through data-driven decision-making.
- Qualifications: Degree in a quantitative field and strong analytical skills required.
The predicted salary is between 40000 - 52000 £ per year.
Help shape the future of health and care through data, insight and innovation. At UCLPartners, we believe that better health and care starts with innovation. We work alongside the NHS, academia, industry and communities to discover, test and scale solutions that improve outcomes for patients and populations.
We're looking for a talented Data Analyst to join our growing Evaluation and Insights team for a 1 year fixed term contract. If you're passionate about using data to answer meaningful questions, influence decision-making and improve healthcare, this is an exciting opportunity to make a real-world impact.
About the role: Evaluation is at the heart of how we support innovation. Whether we're assessing the impact of a new technology, helping services redesign care pathways, or understanding what works for patients and professionals, data and insight play a critical role. As a Data Analyst, you will work on a diverse portfolio of projects that help demonstrate the value of innovation across health and care systems. You will transform complex data into meaningful insights, support robust evaluations, and help stakeholders understand what is working, why it is working, and where improvements can be made.
You'll work with colleagues across UCLPartners and alongside NHS organisations, researchers, innovators and system leaders to generate evidence that drives change. This is a fantastic opportunity for someone who enjoys combining analytical rigour with purpose-driven work and wants to contribute to improving health outcomes at scale.
What you'll be doing: You'll play a key role in delivering high-quality analytical and evaluation projects by:
- Designing and implementing robust data collection and measurement approaches
- Analysing health, administrative, survey and programme data to generate actionable insights
- Supporting evaluation projects that assess the impact of innovations and service improvements
- Developing and applying analytical methods that lead to meaningful conclusions and recommendations
- Creating engaging visualisations and dashboards that communicate findings clearly to different audiences
- Maintaining and enhancing our developing insights platform, ensuring stakeholders have access to timely and relevant information
- Working with partners to secure and manage data access in line with governance requirements
- Translating complex findings into clear, accessible reports and presentations
- Supporting a learning health system approach by continuously sharing insight to drive improvement
What we're looking for: We're keen to hear from people who are curious, collaborative and motivated by making a difference. You will bring:
- Essential:
- A degree or equivalent experience in a quantitative, analytical, research or data-focused discipline
- Strong analytical skills, including interpreting data, assessing limitations and drawing meaningful conclusions
- Experience working on analytical, research, evaluation or insight projects
- The ability to manage multiple priorities and deliver high-quality work to agreed deadlines
- Experience analysing structured and unstructured datasets
- Strong data visualisation and communication skills, ideally including Tableau
- Experience using analytical tools such as R, Python or similar technologies
- Knowledge of data governance, information governance and ethical standards relating to health data
- Excellent organisational, problem-solving and stakeholder engagement skills
- Desirable:
- Experience within healthcare, research, innovation, public sector or population health settings
- Experience supporting evaluations, service improvement programmes or health and care research
- Understanding of statistical methodologies and data linkage approaches
Why join UCLPartners? At UCLPartners, you'll be part of a team that's passionate about improving health and care through innovation. You'll benefit from:
- The opportunity to contribute to projects with tangible impact on patients, communities and health systems
- A collaborative and supportive working culture
- Flexible and hybrid working arrangements
- Exposure to a diverse range of innovative health and care programmes
- Opportunities to develop your analytical, evaluation and stakeholder engagement skills
- A commitment to equality, diversity and inclusion
- The chance to work alongside leading experts from the NHS, academia, industry and beyond
Our values: We're looking for people who share our commitment to:
- Collaboration and partnership
- Innovation and continuous improvement
- Integrity and accountability
- Equity, diversity and inclusion
- Curiosity, learning and impact
Salary: £40,000–£52,000 per annum (depending on experience)
Contract: Fixed Term Contract, Full-time (37.5 hours per week)
Hybrid working: Minimum 40% onsite (2 days per week)
If you're excited by the opportunity to use data and evidence to improve health and care, we'd love to hear from you.
Data Analyst in City of Westminster employer: UCL PARTNERS
At UCLPartners, we are dedicated to transforming health and care through innovative data-driven solutions. As a Data Analyst, you will thrive in a collaborative environment that values your contributions to impactful projects, while enjoying flexible working arrangements and opportunities for professional growth. Join us to work alongside leading experts and make a meaningful difference in healthcare outcomes.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in City of Westminster
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Analyst in City of Westminster
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at UCL PARTNERS, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at UCL PARTNERS. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at UCL PARTNERS
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at UCL PARTNERS!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.