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Healthtech
The Senior Data Analyst will own the analytics function end-to-end, turning raw data into actionable insights for product, operations, and growth strategy.
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Big Data • Cloud • Digital Media • Machine Learning • Mobile • Software • Industrial
The Sr. Data Analyst will collaborate with various departments to design KPIs, perform analyses, and create visual insights using data. They will improve processes and documentation.
Top Skills:
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Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
The role involves leading technical evaluations, creating POCs, advising on architecture, and collaborating with sales and support for customer success in the EMEA region.
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APIsDockerJavaScriptKubernetesPythonRustTypescript
Neko Health is a Swedish health-tech company co-founded in 2018 by Hjalmar Nilsonne and Daniel Ek. Our vision is to create a healthcare system that can help people stay healthy through preventive measures and early detection. Neko has developed a new medical scanning technology concept to make it possible to do broad and non-invasive health data collection that is both convenient and affordable for the public. This requires completely reimagining the healthcare experience and incorporating the latest advances in sensors and AI. We are a remote first company, but the company is based in Stockholm and has over 300 employees across Europe.
About the Role
We are seeking a skilled Data Analyst to establish analytics capabilities and frameworks across the organization. You will build data models using our modern stack (dbt, Azure Databricks, Power BI), working across Finance, Medical Excellence, and Product—plus six other business areas—to enable data-driven decision-making company-wide. This role involves creating our single source of truth, implementing self-service analytics, and establishing data quality standards and governance frameworks. You will collaborate closely with diverse stakeholders—from medical doctors to operations teams and backend engineers—translating complex health data into actionable insights that drive clinical decisions and operational excellence. Our data team of analysts, scientists, and engineers operates in a remote-first culture with our Stockholm office as a collaborative hub.
Responsibilities
- Define and standardize core business metrics and KPIs across the organization, ensuring consistency and eliminating duplicate definitions
- Build and maintain centralized, governed BI dashboards and reports
- Collaborate with data engineering to implement data quality standards, ownership frameworks, and lineage tracking in Unity Catalog
- Partner with business stakeholders to understand their analytical needs and translate them into scalable, reusable data models using SQL, Python, and DBT
- Support end-to-end analytical work — from problem framing and hypothesis design to delivering clear, decision-ready insights.
- Develop and document data contracts and enable self-service analytics while maintaining quality
- Champion data literacy initiatives and enable teams to become more self-sufficient in their analytics
Requirements
- An academic background in Data Science/Statistics/Analytics or related quantitative field, with 5+ years of experience as a data analyst
- Expert-level SQL skills and strong proficiency with dbt (data build tool) for building and maintaining data models
- Experience applying version control (Git) and CI/CD practices for analytics workflows
- Strong Python skills for data analysis and demonstrated ability to establish analytics standards and frameworks in growing organizations
- Experience with business intelligence tools and Azure Databricks or similar lakehouse platforms
- Excellent stakeholder management and communication skills with ability to translate ambiguous business problems into well-defined analytical solutions
Requirements (nice to have)
- Prior experience working with healthcare data, medical device data, or similarly complex, regulated datasets
- Further study to MSc level in Data Science, Statistics, or related field
- Experience with experimentation methodologies and implementing data governance frameworks (ownership, lineage, data contracts)
- Familiarity with modern data stack tools (Fivetran, dlt) and Unity Catalog or similar data governance platforms
#LI-DNI
About the Engineering Team
Distributed and Remote First
We are nearly 100 full time engineers at the company, working from Berlin, Chamonix, Hamburg, Lisbon, Marseille, Vilnius, and Stockholm, spanning diverse disciplines such as Hardware Engineering, Firmware Development, Electrical Design, Algorithm Development, Machine Learning Development, Optronics Research, Frontend Development and more. We don't expect people to join us with a specific tech knowledge, but we do expect you to work with our tools. We use a mix of React, Typescript, C++, and Python. Our APIs are written in C# with ASP.NET Core, uses Azure Cosmos DB, and Azure Active Directory for authentication.
Our headquarters and our hardware development team are in Stockholm, Sweden.
We are a Remote First company; however, it is of course much easier to work remotely as a software engineer than a hardware or firmware engineer (since they require access to hardware or devices occasionally). Software engineers based in Stockholm work maybe one day a week or one day every two weeks from the office.
We meet a couple of times per year to get to know each other and have fun.
Organization and Way of Working
The engineering team is divided into smaller cross functional project teams that each focus on a specific goal or target, where some groups are long-lived, and some are short-lived, depending on how big the goal or deliverable is. We strive to create groups which are cross-functional and able to complete their goals without dependence on other teams, even though this is of course not always possible.
Groups track goals on a yearly and quarterly basis with goal follow-up across the entire engineering organization on a bi-weekly basis. Most groups do internal planning on a bi-weekly basis, but in the end it's up to the group to decide how they want to work.
We have, however, mandated that all groups must present their progress or failures or hacks at our bi-weekly engineering demo, a fun meeting/presentation where we talk about everything from short-circuiting power-modules, how hard it is to calibrate cameras or align polygons in space, to neat new command line tools for operations, a new auth mechanism in the backend, a cool new way to visualize health data or a new feature which helps our doctors be more productive.
We have a flexible workplace that focuses on work/life balance, and we strongly believe in our mission but do not think that achieving it requires sacrificing everything else.
What you need to know about the Edinburgh Tech Scene
From traditional pubs and centuries-old universities to sleek shopping malls and glass-paneled office buildings, Edinburgh's architecture reflects its unique blend of history and modernity. But the fusion of past and future isn't just visible in its buildings; it's also shaping the city's economy. Named the United Kingdom's leading technology ecosystem outside of London, Edinburgh plays host to major global companies like Apple and Adobe, as well as a growing number of innovative startups in fields like cybersecurity, finance and healthcare.
