Senior Data Analyst, Neko Health

• 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
• Prior experience working with healthcare data, medical device data, or similarly complex, regulated datasets

Desirable

• 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
• You'll 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