Top Data Analyst Jobs in Dublin

The Principal Data Analyst will oversee in-house paid media analytics and operations, ensuring data accuracy and driving business performance with comprehensive B2B marketing insights.

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.

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 pricing analysis and execution for Workhuman's E-commerce store, developing pricing strategies, conducting tests, and monitoring performance to drive business impact.

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.

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.

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

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

Embedded with a product squad as the PMs' dedicated data partner, lead deep cross-product analyses focused on activation and adoption, design and evaluate experiments, improve instrumentation and event taxonomies, surface retention and cohort insights, and translate rigorous statistical analyses into actionable product recommendations.

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.

The Finance Systems Data Analyst supports the Finance organization by ensuring data accuracy across SAP and Snowflake, optimizes data flows, automates reporting, and enhances financial decision-making.

The Finance Systems Data Analyst ensures accuracy and accessibility of financial data across SAP and Snowflake, optimizing data flows and reporting.

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.

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

Lead the design and maintenance of Tableau dashboards, transforming complex banking data into insights. Mentor junior analysts and ensure data accuracy.

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.

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.

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

Lead AI-driven resilience assurance initiatives, utilizing predictive analytics and real-time monitoring to enhance compliance and organizational resilience. Develop autonomous systems for continuous audits and dynamic maturity assessments, translating insights into actionable strategies for stakeholders.

The Senior Web3 Data Analyst will manage web3 analytics, monitor on-chain activity, analyze competitor metrics, and deliver insights for product and leadership teams.

Lead fund accounting conversions for alternatives: define requirements, map and migrate data, design reconciliations and controls, partner with Technology/Data for ETL, and ensure NAV, investor servicing, and reporting readiness post-conversion.

Maintain and develop the portfolio management system and its logic; mine and analyze company data; build monitoring tools for model performance and data accuracy; enhance data collection; design dashboards and reports; gather stakeholder requirements and deliver complex analyses to support strategic decisions; handle ad-hoc requests and provide team support.