Top Data & Analytics Jobs in Dublin

Perform hands-on analysis and reporting to support healthcare quality, provider engagement, and patient experience. Design and optimize SQL queries, validate and transform data, monitor data quality and controls, and partner with stakeholders and field teams to deliver actionable insights that guide performance improvement.

Lead technical business analysis for a Payment Integrity data platform: gather and translate requirements, write user stories, ensure data governance, validate solutions, support UAT, refine metrics, and collaborate within Agile teams to enable data ingestion, transformation, and AI/ML readiness.

Support and validate IFP PCOR reporting applications by testing, data validation, and resolving issues. Build and maintain data validation and QA automation architecture, load and transform data, create user-friendly views, work with business stakeholders to gather requirements, and maintain data load processes and stored procedures.

Lead and build an integrated pharmacy analytics function to deliver KPIs, dashboards, and advanced analytics (AI/ML, predictive modeling) that improve community pharmacy operations, financial performance, and patient outcomes. Influence senior stakeholders, mentor analytics teams, set execution rhythms, and align cross-functional partners to drive measurable operational and financial results.

Design, build, and maintain scalable ETL/ELT pipelines to migrate and integrate consumer healthcare data into cloud data lakes/warehouses. Clean and transform datasets for analytics and ML, enforce governance and security, develop reusable frameworks, monitor system reliability, and collaborate with cross-functional analytics and business teams to improve predictive models and lower healthcare costs.

Lead complex data science projects to improve healthcare outcomes by building data solutions, collaborating with teams, and mentoring staff.

The Senior Data Analyst delivers analytics supporting healthcare improvement, collaborating with teams to provide actionable insights and data quality management.

As a Senior Data Engineer, you'll develop and maintain ETL data pipelines, integrate data from multiple sources, ensure data quality, and support analytics and ML tasks. You'll also collaborate on architecture and best practices.

Lead and develop a high-performing analytics team to translate complex, multi-source healthcare data into actionable insights. Apply AI/ML, predictive analytics, automation, and modern reporting to drive client value, solve data challenges, and deliver scalable, executive-ready storytelling and measurable outcomes.

Develop and maintain business dashboards, reporting, and ETL pipelines; perform business analysis and QA; translate stakeholder requirements into technical specifications; build data visualizations and insights to improve financial and operational performance.