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Analytics EngineerTandem Health · Stockholm
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Tandem Health

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Analytics Engineer

🗓️ Posted 2026-09-01 Stockholm Fulltime Hybrid ICT
💰 Salary Not shared 📊 Market 45,000 SEK–65,000 SEK/mo

About the Company

At Tandem Health we're reimagining healthcare by putting clinicians first. Our platform - designed by clinicians, for clinicians - is built on deep insight into real-world pain points, with intuitive medical notes and workflows that truly support patient care. We're a fast-scaling health-tech company backed by top investors and expanding globally.

About the Role

You've never been satisfied with just delivering the number. You start by understanding the decision a team is trying to make, then work backwards to the question and evidence they actually need. You earn your seat in the room by making decisions better and helping teams make the next one themselves, whether through a trusted metric, a clearer model, or a self-serve workflow. As an Analytics Engineer at Tandem you'll own the data layer that the rest of the company runs on - the dbt models, the metrics, the semantic definitions and you'll sit close to the teams that use it.

Responsibilities

  • ● Turn the questions people bring you into clear, trustworthy answers, delivered in the form and channel they will actually use, and work with stakeholders to see whether the answer was understood, acted on, and changed the decision it was meant to inform.
  • ● Build self-serve surfaces and documentation that help teams answer their own questions and act on what they find.
  • ● Own and evolve the data layer - dbt models, metrics, and semantic definitions - so that the answers built on it are trustworthy and easy to reach for.
  • ● Proactively surface what the data shows - patterns, risks, and opportunities nobody asked about.
  • ● Ensure data and metric quality through testing, monitoring, and clear ownership of the datasets you produce.
  • ● Bring the analytics perspective into data platform decisions: what data, tools, and capabilities we invest in next - and help build them.

Requirements

  • ● Excellent SQL skills.
  • ● Experience in analytics engineering, data analytics, data engineering or a closely related field.
  • ● Hands-on experience building and maintaining a modeling layer in production - dbt or equivalent - including testing and documentation.
  • ● A genuinely business-minded approach: you understand what the teams you support are trying to achieve, and you push back when the question they asked isn't the question they need answered.
  • ● Strong communication skills - you can present to a room, explain a method to a non-technical stakeholder, and argue your point without winning by jargon.
  • ● A sense of ownership that extends past delivery: you care whether the work landed.

Nice to Have

  • ● Python for analysis, scripting, and lightweight tooling.
  • ● Experience working embedded with product, commercial, or finance teams.
  • ● Experience in healthtech, or in another regulated environment handling sensitive data.
  • ● Experience in early-stage startups or scaleups, where you've built things from close to zero.

Application Notes

We adopt a continuous selection process, so please make sure to apply.