Data Analyst

Voy; Greater London; Hybrid; GBP 35,000 - 55,000; Full time

Job summary

Voy, a fast-growing Healthtech scale-up, seeks a data analyst to translate data into insights and build Looker dashboards that inform operations and clinical decisions. You will automate reports, collaborate with engineering, and help define KPIs to improve patient outcomes at scale.

The role is hybrid with three days in the office, requiring strong SQL skills, data visualization ability, and clear communication with diverse stakeholders.

Qualifications

• 2-4 years of experience in analytics or similar roles.
• Proficiency in SQL to explore, filter, join and aggregate data.
• Experience with at least one BI/visualisation tool (Looker, Tableau, Power BI).
• Familiarity with modern data stacks and tools (BigQuery, Snowflake, PostgreSQL, dbt).
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication skills for diverse audiences.
• This is a hybrid role requiring 3 days per week in the office.

Responsibilities

• Translate data into insight to inform decisions across teams.
• Conduct ad-hoc analyses to answer business questions from stakeholders.
• Identify trends and anomalies in operational and clinical data.
• Present findings in clear, actionable insights to drive decisions.
• Design and build dashboards in Looker tracking key KPIs and financial metrics.
• Develop automated reports and ensure dashboards are accurate and usable.
• Collaborate with Data Engineering on modelling and governance, and define KPI calculations.
• Partner with Operations, Clinical, Finance and Programme Delivery to meet data needs.

Skills

SQL

Data visualization

Dashboard design

Communication

Stakeholder collaboration

Analytical thinking

Education

Bachelor's degree in a quantitative field

Tools

Looker

Tableau

Power BI

BigQuery

Snowflake

PostgreSQL

dbt

Job description

What You Will Do

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 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

• At least 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.