Analyst Engineer

About this role

Analyst Engineer 🕙 Role details: Permanent & full time (40 hours per week) 💷 Salary: €62,000 - €75,000 🌍 Location: Ireland - Remote Who we are Isla Health is a venture-backed health-tech scale-up, supporting partners across the UK, EU and internationally. We’ve built a new category of healthcare technology which we refer to as the Digital Pathway Platform (DPP). Founded in 2019, we now support 25% of NHS Trusts and see 2 million submissions on the platform every year.

As a company, we’re laser focused on enabling a scalable model of care which empowers healthcare staff and improves patient outcomes. The DPP supports this by setting up digital pathways which are remote-first and asynchronous. As pathways harness sophisticated automation, clinical algorithms and intelligent cohorting, patients always take the optimised route through their pathway, thereby delivering a step change in clinical productivity.

The role We're looking for an Analytics Engineer to take ownership of how we structure, manage and use data across Isla . As our platform scales, we have a huge opportunity to use our data to demonstrate clinical impact, improve our product and help teams make faster decisions. You'll be responsible for building the foundations that make this possible. This is a broad, highly hands-on role spanning data engineering and analytics.

You'll improve our data infrastructure, build reliable pipelines and models, and deliver the analysis, dashboards and reporting that help our teams and healthcare clients make better-informed and faster decisions. We're looking for someone who can work independently, identify what needs improving and drive work forward without needing detailed direction. You'll work within our Product team, collaborating closely with Engineering on more complex infrastructure and architecture decisions, and with client-facing teams to turn data into meaningful insights.

You'll play a key role in shaping our data capability as Isla grows. What you’ll do Own and improve our analytical data infrastructure: Assess and improve how data is structured, modelled and managed in BigQuery, ensuring it's reliable, accessible and scalable. Work with Engineering on more complex infrastructure decisions, performance optimisation and cost efficiency. Build reliable data pipelines and models: Develop and maintain processes to collect, transform and structure data, establishing consistent definitions, documentation and quality controls, working cross-functionally to support business priorities.