Top Data Analyst Jobs in Dublin

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.

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 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.

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 governance and validation of clinical analytics methodologies by reviewing Databricks notebooks, SQL, Python and Spark code; maintain methodology documentation; partner with clinical and business stakeholders; conduct impact assessments and present methodology updates to leadership to ensure analytical integrity and transparency.

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.

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.

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 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.

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

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.

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.

Analyze and instrument offsite discovery and SEO/GEO performance for ecommerce sites. Build integrations, ETL pipelines, and models to track organic and AI-driven traffic. Create tooling and frameworks for technical site audits, landing page modelling, SEO experiments, and enablement for product and customer teams.

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.

The Planning Master Data Analyst manages planning master data across SAP and advanced systems, ensuring data quality and collaboration across global supply chain teams, particularly during the SAP S/4HANA transformation process.

The role involves building scalable data models, automating reporting, implementing metrics, developing dashboards, and ensuring data quality across teams globally.

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.

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.

Supports the reliability and operational readiness of a Databricks-based enterprise data platform. Responsibilities include monitoring pipelines and Azure data services, triaging incidents, coordinating releases and production handovers, maintaining runbooks and dashboards, supporting access and environment management, and driving continuous improvement. The role also contributes to Teradata-to-Databricks migration, production-readiness validation, automation, governance, observability, and service operations.

Lead the data solutions strategy for PR&C PSP division, managing data initiatives, teams, and collaborating on analytics projects. Ensure compliance, governance, and optimize data services while communicating technical solutions to stakeholders.

Partner with Marketing, Sales, Finance, Product and other teams to turn business questions into actionable analysis. Own end-to-end analytics: build datasets and dashboards (dbt, LookML), maintain metric definitions and caveats, use and curate agent tooling for trustworthy answers, and contribute small data platform and pipeline improvements.

The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.