Top Data Analyst Jobs in Dublin

Work with marketing stakeholders to gather requirements and build BI/reporting solutions. Create semantic models, develop reports, document and train users, and maintain/enhance BI products while collaborating with data strategy and IT.

Leads enterprise business intelligence and reporting for Optum Health Performance Management. Designs dashboards, scorecards, data models, reporting pipelines, visualization frameworks, and automated reporting processes. Ensures data quality, governance, documentation, lineage, and timely delivery of executive, provider, market, operational, and performance reports. Translates business requirements into scalable reporting solutions and collaborates with analytics, technology, and data engineering teams on reporting modernization.

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.

Designs and operationalizes data products supporting analytics, machine learning, generative AI, and agentic AI use cases. The role models and transforms healthcare data, analyzes trends, ensures data quality, supports risk adjustment and customer targeting, and collaborates with data scientists and AI engineers to evaluate models and improve business adoption.

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.

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.

Analyze and interpret business data to support client experience, operational efficiency, and business performance. Responsibilities include migrating legacy data to Snowflake, conducting exploratory and statistical analyses, partnering with cross-functional teams, developing Power BI visualizations and data products, promoting data literacy, and maintaining metadata, data lineage, and data quality frameworks.

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.

Develop data insights and analytical solutions supporting Payment Integrity transformation and operational performance. Analyze medium and large datasets, build reporting and self-service dashboards, monitor trends, perform data quality checks, and ensure outputs are accurate and auditable. Partner with data leaders, stewards, subject matter experts, and business stakeholders to document requirements, translate needs into solutions, and communicate findings that guide transformation priorities.

The GTM Data & Performance Analyst supports strategy and sales teams by analyzing data, producing reports, and monitoring partner performance to facilitate decision-making.

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.

Supports the reliability and performance of Primark’s Databricks-based data platform. Responsibilities include monitoring pipelines, investigating incidents, coordinating releases and production handovers, maintaining operational documentation and dashboards, supporting Azure data services and access management, and improving DataOps practices. The role also contributes to migration from Teradata to Databricks, platform modernization, automation, observability, governance, and continuous improvement.

Manage daily Data team operations, research and analyze datasets, build internal and external reports (including an annual Startup Ecosystem Ranking), and maintain/improve Python scripts and data infrastructure to deliver actionable insights.

Supports enterprise data governance and quality by mapping data flows, documenting processing activities, maintaining business glossaries, defining quality rules, assessing data controls, reporting weaknesses, and producing stakeholder and regulatory reports. The role partners with business and IT leaders, data owners, stewards, and subject-matter experts to promote compliance with AIG data policies, GDPR, and other privacy requirements.

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.

Leads procurement workflow design, digital platform implementation, administration, troubleshooting, and continuous improvement. Partners with cross-functional teams and vendors, manages access and data integrity, drives user adoption through training and documentation, and analyzes platform performance using dashboards and reporting tools to support automation and decision-making.

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.

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 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.