Voy
Data Analyst
Salary
Job description
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.
We are looking for a talented Data Analyst to join our growing Data team and help drive smarter, data-informed decisions across the organisation.
The Opportunity
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 escalate 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


