Top Data Analyst Jobs in Dublin

Lead development and scaling of advanced analytics, reporting, and AI-driven solutions. Analyze complex datasets, design/validate data pipelines, ensure data quality and compliance, and translate insights into actionable business recommendations while collaborating cross-functionally.

Lead design and implementation of advanced analytics, reporting, and data tooling for chart review, targeting analytics, and risk adjustment. Build and validate data pipelines, automate integrations, ensure data quality, modernize legacy analytics, and deliver actionable insights to stakeholders across the organization.

Build and maintain scenario models evaluating manufacturer discounts and formulary strategies for Medicare. Extract, transform, and feature-engineer data; develop tracking reports and self-serve analytics; validate models; document reproducible methods; collaborate with stakeholders and cross-functional teams to align assumptions and translate business needs into analytical solutions.

Lead enterprise analytics strategy and transformation, drive AI and advanced analytics adoption, establish governance and best practices, partner with senior leaders to deliver measurable business outcomes, and build high-performing analytics teams to enable self-service analytics and data-driven decision-making.

Lead marketing analytics for Workplace Solutions: define measurement frameworks, analyze participant and campaign data, build segmentation, run experimentation, create executive dashboards, improve data governance and accessibility, and enable cross-functional teams to drive engagement and conversion.

Lead development and maintenance of enterprise dashboards, reporting pipelines, and automated BI solutions. Translate business requirements into scalable visualization and reporting frameworks, ensure data quality and governance, collaborate with analytics and engineering teams, and support executive and performance management reporting.

Develop and maintain provider- and market-level performance scorecards and reporting, analyze large healthcare datasets to identify trends and improvement opportunities, support provider accountability and value-based care initiatives, produce executive-ready insights, and partner with clinical, network, and BI teams to drive performance improvement.

Lead enterprise performance and financial analytics by designing KPI hierarchies, building attribution and tracking models, connecting operational metrics to financial outcomes, producing executive insights and value realization reporting, and partnering with Finance and BI teams to support strategic decision-making across risk, quality, affordability, and operations.

Lead commercial analytics for PBM formulary design, pricing, and benefit strategy. Translate business needs into analytical frameworks, evaluate financial and utilization trade-offs, support scenario analysis and forecasting, liaise between stakeholders and analytics teams, and produce executive-ready recommendations and presentations for clients and leadership.

Design, build, and maintain scalable big-data analytic solutions for clinical teams. Translate business requirements into technical specifications, apply predictive analytics and ML, create visualizations and dashboards, migrate legacy data, and recommend process improvements to support healthcare outcomes and operational efficiency.

Lead migration of Excel-based actuarial and pricing tools into scalable platforms. Translate actuarial and business requirements into technical solutions, ensure accurate auditable outputs, develop coding standards and testing, provide consultancy to underwriters, and mentor junior analysts.

Transform, validate, and automate fund accounting data workflows using Xceptor and MoveIT. Write and optimize SQL, monitor pipelines, troubleshoot data issues, document processes for audit/compliance, collaborate with Fund Accounting and Technology teams, and identify automation improvements.

Analyze product telemetry and logs to define metrics, inform feature development, design instrumentation, shape data requirements, partner with engineers and data teams, build dashboards, and ensure data quality and monitoring to drive product decisions.

Collect, validate, and analyze packaging, sales, and environmental data to map EPR obligations across EU/UK/US/Canada. Maintain EPR management systems, support regulatory filings and audits, generate monthly compliance reports and actionable insights, and collaborate with stakeholders to implement alternative compliant packaging and improve data quality.

Produce and maintain high‑quality investment 'gold‑copy' data, run data quality and control reports, resolve exceptions, improve processes, support testing and governance, manage third‑party data sources, and collaborate across business teams.

Produce accurate gold-copy investment data, execute and analyze exception and quality-control reports, resolve data issues, recommend process improvements, support testing and monitoring, and maintain data management procedures across the enterprise.

Lead delivery of end-to-end data and analytics solutions: build dimensional models, develop Power BI dashboards, perform exploratory analysis, design Azure-based data pipelines, capture client requirements, run scenario modelling, test and assure solutions, prepare client communications and lead project teams.

Lead data and analytics projects: design dimensional models, build Power BI dashboards, run exploratory analysis, capture client requirements, develop end-to-end data pipelines on Azure, test and assure solutions, support client decision-making, and contribute to business generation and people development.

Lead contributor delivering data and process change initiatives for the Finance Division. Perform end-to-end data analysis, produce management information and reporting, manage ETL and data transformation rules, engage stakeholders (unions, payroll, third parties), support onboarding of salary deduction schemes, identify data quality and operational risks, define improvement recommendations, and collaborate with Technology, PMO and Operations to deliver automated, controlled solutions and change governance.

Perform full-stack on-chain and product analytics: query on-chain data, profile ecosystem actors, benchmark protocols, define KPIs, build dashboards, and translate findings into actionable briefs for strategy, BD, product, and growth teams.

Own end-to-end product analytics for the Pro team: build production-grade pipelines and dbt models, define north-star metrics, design A/B tests and causal inference frameworks, create dashboards and metric frameworks, embed AI tooling, and translate insights into product recommendations for leadership.

Analyze user behavior and product performance to drive insights, create reports and dashboards, and collaborate with teams for data-driven decisions.

Lead analytics to improve player experience, engagement, retention, and monetization. Analyze player lifecycle, run cohort and funnel analyses, design and evaluate A/B tests, build dashboards, define product metrics, investigate KPI changes, and partner with product, marketing, engineering, and data teams to deliver data-driven recommendations and improve data quality.

Analyze large datasets to identify trends and deliver actionable insights; design and monitor KPIs; build and maintain dashboards and reporting frameworks; conduct ad hoc analyses; ensure data quality and support reporting infrastructure in partnership with product and business teams.

Early-career Data Analyst responsible for designing and owning core metrics and dashboards, analyzing transaction/customer/credit data to inform credit, fraud, AML, portfolio and growth decisions, building data pipelines and automations with SQL and Python, partnering with cross-functional teams, and owning compliance reporting. Emphasis on turning ambiguous problems into reliable analytical systems and applying GenAI/LLMs for practical automation.