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Voy

Voy

Data Analyst

Company

Voy

Role

Data Analyst

Job type

-

Found on Mokaru

2 weeks ago

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Salary

Not disclosed by employer

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

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