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    VO

    Voy

    Data Analyst

    London, United KingdomOn-SiteFull-time2–4 yrs experiencePosted 6d ago
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    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

    • 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.

    Job details are sourced from the employer's original posting.

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    VO

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    Voy

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