At a Glance
- Tasks: Transform data into insights and build impactful dashboards to improve patient outcomes.
- Company: Fast-growing Healthtech scale-up revolutionising healthcare for millions.
- Benefits: Hybrid work model, competitive salary, and the chance to make a real difference.
- Other info: Collaborative environment with opportunities for growth and innovation.
- Why this job: Join us in reshaping healthcare and support better lives through data-driven decisions.
- Qualifications: Strong SQL skills, experience with BI tools, and excellent communication abilities.
The predicted salary is between 35000 - 45000 £ per year.
VOY is a fast growing Healthtech scale-up, aiming to be the healthcare provider that millions of people trust as their partner to a long and healthy life. Our platform allows users to quickly and safely diagnose possible conditions, get treatment and support them afterwards to live a higher quality life. To do this we are building an all in one healthcare platform which brings together world leading medical expertise and technical excellence.
This is a high-impact role where the insights you surface and the dashboards you build directly influence how our teams operate and how well we support our patients.
Who you are
- You have strong SQL skills and can write queries confidently to extract, transform and analyse data.
- You're comfortable with data visualisation tools and understand how to design dashboards that are intuitive and actionable.
- You think carefully about data — what metrics mean, what the data is actually telling you, and how to communicate it clearly.
- You're curious and self-driven, comfortable exploring datasets to uncover insights and answer difficult questions.
- You're a natural communicator who can translate analytical findings into clear, actionable recommendations.
- You collaborate well with both technical and non-technical stakeholders and take ownership end-to-end.
- You're excited about working in a fast-paced environment and motivated by the idea that your work helps improve patient outcomes at scale.
What you will do
- Translate data into insight: Conduct ad-hoc analyses to answer business questions from stakeholders across Operations, Finance, Clinical and Programme teams.
- Identify trends, patterns and anomalies in operational and clinical data that impact service delivery and patient outcomes.
- Present findings in clear, compelling ways that drive decision-making across the organisation.
- Build and maintain dashboards & reports: Design and build dashboards in Looker that track key metrics across the business - from programme delivery KPIs to financial performance.
- Develop automated reports that keep stakeholders informed without requiring manual updates.
- Ensure dashboards are accurate, performant and easy to navigate for end users.
- Contribute to data quality & modelling: Write clear, optimised SQL to query and manipulate data reliably.
- Collaborate with the Data Engineering team on data modelling, dbt transformations and data governance.
- Identify and elevate data quality issues and help ensure consistency across systems.
- Help define and track metrics that matter, ensuring every KPI is well understood and correctly calculated.
- Partner across teams: Work closely with stakeholders across Operations, Clinical, Finance and Programme Delivery to understand their data needs.
- Communicate complex data concepts in a way that's accessible to non-technical stakeholders.
- Help drive adoption of data-driven thinking and self-serve analytics across the organisation.
What we need from you
- 2-4 years of experience in a data analyst, business analyst or similar analytics role.
- Proficiency in SQL – you can write queries to explore, filter, join and aggregate data reliably.
- Experience with at least one BI/visualisation tool (Looker, Tableau, Power BI, or similar).
- Familiarity with modern data stacks and tools (BigQuery, Snowflake, PostgreSQL, dbt are all helpful).
- Strong analytical and problem-solving skills with an eye for detail.
- Excellent communication skills – able to explain complex findings clearly to diverse audiences.
- This is a hybrid role requiring 3 days per week in the office.
Experience you may have
- A degree in a quantitative subject (Statistics, Mathematics, Computer Science, Economics, etc.).
- Experience in healthcare, public health or regulated industries.
- Exposure to Python or R for data analysis and statistical work.
- Experience working in fast-growing, high-impact environments.
- Familiarity with dbt or other data transformation frameworks.
Please note that this is a hybrid role with a requirement of in office presence, 3 days per week.
Healthcare is broken. We’re fixing it — and we need your help. Back in 2019, we launched MANUAL to tackle men's health (starting with hair loss and sexual health). A few years later, we launched Voy with a focus on weight loss. But our ambition has always been bigger. Healthcare too often treats conditions in isolation, not people as a whole, and we're on a mission to prove there's a better way. In 2025, we evolved from MANUAL into Voy, a brand built for the long game: supporting people through every stage of life, not just a single diagnosis. Today, we support over 1 million members across the UK, Germany and Brazil, delivering personalised care across weight loss, menopause, hair loss and TRT (with more categories on the way). Ready to join us and change how healthcare feels for millions of people?
Data Analyst in London employer: Voy
At VOY, we pride ourselves on being a fast-growing Healthtech scale-up that is dedicated to transforming healthcare for millions. Our collaborative work culture fosters innovation and empowers employees to make impactful contributions, particularly in roles like Data Analyst where your insights directly enhance patient outcomes. With a commitment to professional growth and a hybrid working model, we offer a unique opportunity to be part of a mission-driven team that values data-informed decision-making and prioritises employee well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Voy!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst at Voy.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Voy.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at Voy, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Analyst in London
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 Voy, 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 Voy. 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 Voy
✨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 Voy!
✨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.