Top Data Analyst Jobs in Dublin

Analyze and manipulate claims data to support payment integrity and medical cost savings initiatives. Collaborate with claims analysts, ideators, and cross-functional data teams to identify savings opportunities, research data, troubleshoot anomalies, and ensure analytical accuracy. The role requires claims analysis experience, SQL and advanced Excel skills, and strong analytical capabilities. Python, data engineering, Snowsight, and claims platforms are preferred.

Analyzes pharmacy claims, pricing, and contract data to support reimbursement strategy and network pricing decisions. Builds and validates financial models, forecasts outcomes, investigates trends and variances, and translates complex analysis into recommendations for senior stakeholders. Partners with contracting, underwriting, finance, and operations teams while supporting reporting transformation, data stewardship, process improvement, automation, and AI-enabled analytics adoption.

Leads advanced healthcare analytics, data modeling, reporting, dashboard development, predictive analysis, and automation initiatives. Translates stakeholder requirements into SQL and Python-based analytical solutions, interprets healthcare cost and utilization trends, presents actionable insights to senior leaders, and mentors junior analysts. The role also oversees data governance, validation, documentation, process improvement, and delivery across multiple concurrent projects.

Conduct exploratory product and marketplace analyses using SQL and statistical programming, define business metrics, build dashboards and scalable data assets, and guide A/B testing. Partner with Product, Engineering, and Data teams to generate actionable insights, improve experimentation and data architecture, support product strategy, and communicate complex findings to executives.

Analyze payments data, integrate complex data sources, maintain performance reports, monitor KPIs, and identify opportunities to optimize payment routing and reduce failures and costs. The role collaborates with Payment Operations, Product, Finance, Customer Support, analysts, and engineers to ensure data quality and deliver actionable insights through ad hoc analysis, dashboards, and automated reporting.

Analyze large-scale security telemetry, threat intelligence, endpoint, and detection data to identify trends, anomalies, and emerging threats. Build dashboards, reports, data pipelines, and KPI frameworks using SQL, Python, LogScale, or similar tools. Collaborate with data engineering, product, and engineering teams to ensure data quality and translate complex findings into actionable insights for technical and non-technical stakeholders.

Analyze hotel supply data to support commercial and Cloud teams, evaluate partner and chain performance, identify inventory gaps and data-quality issues, and improve reporting consistency. The role involves clarifying ambiguous requests, delivering end-to-end analyses, building trusted dashboards or data products, and communicating findings to nontechnical stakeholders. Experience with SQL is required, while dbt, data modeling, and marketplace or platform experience are advantageous.

The Data Analyst develops and maintains Power BI dashboards, datasets, data models, SQL and DAX solutions, and data pipelines. The role supports AWS cloud analytics integration, data quality, troubleshooting, governance, documentation, and workspace administration. It coordinates data engineers, translates business requirements into technical deliverables, collaborates with stakeholders, and communicates findings to nontechnical audiences while supporting agile delivery and data privacy compliance.

Own analytics for Nuitee’s global travel marketplace, analyzing enterprise partners, self-service API adoption, bookings, product performance, and customer behavior. Build and validate dbt models, data pipelines, experimentation capabilities, and analytical products end to end. Partner with senior Product, Engineering, and commercial leaders to establish trusted metrics, resolve reporting inconsistencies, identify growth opportunities, and influence product and business decisions in a fast-moving startup environment.

Performs daily investment data operations, analyzes and resolves data quality issues, responds to helpdesk requests, researches investment data, and supports process improvements. The role includes root cause analysis, documentation, testing, user acceptance testing, vendor coordination, and participation in data management initiatives. It requires accurate, timely work with securities, mutual funds, managed accounts, indices, composites, and related reference data.

Owns end-to-end product and commercial analytics for an AI cloud platform, including metric definition, customer health, capacity forecasting, utilization, pricing, packaging, segmentation, and monetization. Analyzes large-scale customer and usage datasets, builds production-ready data solutions, and delivers recommendations across Product, Engineering, Finance, Sales, and Operations. The role requires strong Python, SQL, statistics, commercial judgment, and familiarity with consumption-based technical products.

Own data modeling, analysis, reporting, dashboards, and analytical solution delivery for Finance and Operations. Build scalable datasets and reusable data models, automate reporting and reconciliation, improve KPIs, validate data quality, optimize queries, and translate business needs into actionable insights. Collaborate with technical and non-technical stakeholders while using modern cloud, development, and AI-assisted tools to improve analytical workflows and productivity.

Analyze large-scale user and product data, design and evaluate A/B tests, define and validate product and business metrics, build dashboards and reports, and partner with engineers, data scientists, product, and customers to translate insights into product improvements.

Build and maintain OneStream forecasting, planning, reporting, and dashboard capabilities for Commercial FP&A. Develop demand planning models, reports, reconciliations, and performance monitoring processes while supporting month-end reporting and data improvement initiatives. Partner with finance, data, administration, and implementation teams to optimize the platform, automate processes, troubleshoot performance, deliver actionable insights, and develop internal OneStream expertise. The role also evaluates AI and automation opportunities across FP&A workflows.

Own sustainability data analytics, GHG inventory reporting, carbon modeling, audit-ready datasets, dashboards, disclosures, and automation. The role supports ESG reporting, investor and regulatory requests, executive and board presentations, sustainability metrics, vendor engagement, and cross-functional decision-making. Responsibilities include applying ESG frameworks, improving data controls, integrating sustainability metrics into business processes, managing assurance activities, and identifying opportunities to use AI and automation to improve efficiency and reduce environmental impact.

Build and maintain ETL/ELT pipelines, cloud data warehouse models, dashboards, and reports. Ensure data quality, governance, lineage, and reliable metric definitions while translating stakeholder needs into actionable analytics. Support AI-enabled reporting, natural-language querying, anomaly detection, and governed LLM tools. Collaborate with business, IT, and engineering teams to automate reporting and improve self-service data access.

Analyze FMCG sales, pricing, promotions, customer, product, margin, market share, and competitor data to support revenue growth management. Develop pricing and price elasticity models, identify commercial opportunities, create visualizations and actionable insights, and translate analytical needs into product requirements, user stories, and business rules. Collaborate with stakeholders, product managers, data engineers, developers, and commercial teams to build scalable digital analytics solutions.

The Data Migration Test Analyst will support testing activities for a nine-month fixed-term assignment. The provided description contains no detailed responsibilities, qualifications, technologies, travel requirements, or clearance information.

Analyze and improve fraud signals and user segmentation for Puzzleplay’s rewards platform. Investigate suspicious and manually reviewed users, monitor segment effectiveness, identify gaps in detection, and recommend verification tools. Collaborate with product and data teams to turn analysis into operational fraud controls across different markets as fraud patterns evolve.

Own regulatory analytics and reporting by building audit-ready datasets, pipelines, dashboards, compliance metrics, and automated workflows. Analyze complex data, monitor quality, support audits and regulatory exams, and deliver actionable insights to compliance teams and leadership. Translate regulatory requirements into accurate reports using Python, SQL, dbt, and Airflow while partnering cross-functionally to manage data issues and remediation.

Conduct clinical trial data risk assessments, identify data integrity issues, recommend mitigation strategies, and monitor data quality throughout trials. Collaborate with cross-functional teams on risk management plans, communicate statistical insights using analysis and visualization tools, and support regulatory documentation and audit preparation. The role requires clinical research or data analysis experience, strong analytical skills, English and Mandarin fluency, and knowledge of statistical and risk assessment methodologies.

Leads research and advisory work for CIOs on data, analytics, and AI strategy, governance, operating models, architecture, value realization, and emerging technologies. Develops thought leadership, market analysis, presentations, and actionable client guidance; evaluates agentic and composite AI, modern data platforms, AI-ready data, organizational maturity, and capability-building needs. Represents Gartner at client meetings and conferences, supports sales, mentors colleagues, and shapes research agendas.

Leads the development, management, and improvement of organizational data processes. Responsibilities include designing data ingestion and transformation pipelines, data modeling, database development, data quality controls, governance, security, documentation, and lifecycle management. The role translates stakeholder requirements into technical data solutions and supports analysis, reporting, visualization, and continuous improvement across teams.

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

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.