Data Analyst

# Data Analyst

## Department

Data

## Location

London

## Work Type

Hybrid (3 days per week in office)

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## About Voy

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. 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. 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).

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## 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.

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## 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

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## 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

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## 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

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## 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

Apply directly on RemoteJobs.org: https://remotejobs.org/remote-jobs/data-analyst-manual