Most people only get a detailed view of their health when something goes wrong. We believe that should change. At Blue, customers complete an extensive, doctor-led health check that measures hundreds of health data points in one hour. We translate those results into clear insights and practical recommendations, helping people understand their health today and make better decisions for the future. Our ambition is to make this the new standard for how people take care of their health, starting in the Netherlands and expanding internationally.

Our first centre in Amsterdam is live, booked out well in advance, with a growing share of members returning for a second check. We've proven the model and now we're scaling it. That means harder questions about what's working and why, and we need someone who can answer them with data.

The role

This is a full-time, 6 month internship based in Amsterdam, with potential to grow into a permanent role. Day to day you'll dig into what drives member behaviour, build the dashboards the team relies on, and help the team make better decisions with data. Because the analytics function is still early, you'll also help shape it, working with the CTO on how we turn raw product and health data into metrics and models the team can use. The scope is broad and a lot is still to be built, but you won't be figuring it out alone.

What you will work on

Data analysis across the whole customer journey: acquisition, conversion, engagement, retention and health outcomes. Answering questions and identifying patterns to understand member behaviour and help the team make better product and business decisions
Co-building the pipeline from raw data to the metrics and dashboards the team relies on
Supporting investor materials and strategy discussions with clean, well-structured data analysis

What we are looking for

Background in data science, statistics, computer science, or a quantitative field
Strong SQL and data modeling skills
Comfortable working with data programmatically. We're building out the analytics tooling and you'll have input into what that looks like
Careful and precise with data, especially in a healthcare context where privacy and accuracy matters
Self-driven. Can take a messy question, structure an approach, and bring back a clear answer the team can act on
Interest in health, prevention, or behavioural science is a plus
Experience with health outcomes research, epidemiology or real-world evidence is a plus
Comfortable reading and contributing to a production codebase is a plus

Why apply?

You'll join at a stage where the right analysis can change how we build and grow. The data set spans health, product and business, and you'll work with a small and motivated group that is ready to change the world of preventive healthcare.

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