Analytics Engineer
AI in this role
Own the data layer, dbt models, and metrics to empower healthcare decision-making as an Analytics Engineer.
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. We move fast, stay curious, and believe building something that matters starts with an extraordinary team. If you're passionate about impact and innovation, we'd love to meet you!
About the RoleYou’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. Product deciding what to build next. Clinical ops working out how we serve customers. Commercial and finance running the business. You'll work embedded with them rather than behind a request queue, and you'll be expected to have a point of view and argue it.
We are a small but growing data team. It is still early enough that everyone contributes across the full scope of the data team's work. As we grow, this role will likely specialise - likely toward either the product side or the commercial side - and we're open to which of those pulls at you.
What You Will Do
Turn the questions people bring you into clear, trustworthy answers, delivered in the form and channel they will actually use. 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.
What You Bring
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.
Bonus Points
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.
Location
We believe the best ideas happen when we're together. This role is based in our vibrant HQ in the heart of Stockholm where you will work primarily from our office to collaborate, connect, and build our culture.
How to Apply
We adopt a continuous selection process, so please make sure to apply with your CV in English.
Our interview process consists of 4 stages:
Screening interview with Talent Acquisition
Interview with a member of the Data team
Technical discussion and interview with a member of the Data team and our Head of Data
Case presentation at our office - join us in Stockholm for a case and a lunch with the team, to experience our culture firsthand, collaborate with us, and see how you work in action
Benefits
Competitive salary & company stock options
30 days/year of paid vacation
5,000 SEK wellness allowance (friskvårdsbidrag) plus an additional 6,000 SEK yearly to spend on other health related initiatives
Generous Parental leave top-up for new parents
Private Medical Insurance to stay healthy
Mental health support through our partner Mindler
Pension program
Social and team-building activities (off-sites, after works, winter/summer parties)
An opportunity to make a real positive impact in the world of healthcare
Work with some of the best minds in AI, healthcare, and engineering.
We review our benefits packages on a regular basis and might modify our benefits from time to time.
At Tandem, we move fast, think big, and take ownership. We're a high-performing, diverse team with a shared drive to change the future of healthcare - and we’re just getting started.
Our culture is built on action, ambition, and learning. You'll be trusted to take the lead, challenge yourself, and make an impact from day one. We believe real growth happens when you're stretched, supported, and surrounded by smart, passionate teammates who want to win together.
Even though we’re spread across countries, we come together often in Sweden for team meetings, social events, and offsites - blending global reach with real human connection.
We hire for talent, potential, and attitude - valuing different backgrounds and fresh perspectives. Great ideas come from everywhere, and we’re building a team that reflects the world we want to change.
Tandem handles sensitive patient data and will conduct a background check before hiring any candidate.
How we rate this
Analytics Engineer at Tandem Health rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data modeling was part of your work. What did you do?
- Tell me about a project where sql was part of your work. What did you do?
- Tell me about a project where analytics was part of your work. What did you do?
- Tell me about a project where metrics was part of your work. What did you do?
- Walk me through how you've used Dbt in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Modeling, SQL, Analytics, Metrics, and Dbt. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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