Top Data Analyst Jobs in Dublin

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 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.

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.

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.

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.

Develops and optimizes Python pricing and valuation models, SQL-based Fair Market Value tools, and machine-learning-enabled methodologies for vehicle remarketing. Analyzes sales performance, pricing variance, and profitability; automates workflows and reporting; builds dashboards; and translates complex findings into recommendations for remarketing leaders across the U.S., Canada, and Ireland. The role requires collaboration with operations and analytics stakeholders to improve pricing accuracy, conversion, revenue, and portfolio profitability.

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.

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.

Own data infrastructure, ETL pipelines, analytical datasets, dashboards, and Tableau reporting. Analyze revenue, transactions, margins, customer behavior, profitability, and commercial initiatives to identify growth opportunities. Maintain data governance and regulatory reporting while translating complex findings into actionable recommendations for technical and business stakeholders. Support automation opportunities using AI and promote data-driven decision-making across Product, Engineering, Marketing, Finance, Operations, Compliance, and executive teams.

Own data infrastructure, ETL pipelines, analytical datasets, dashboards, governance, and regulatory reporting. Analyze revenue, transactions, margins, customer behavior, and product performance to identify growth opportunities. Partner with Product, Engineering, Marketing, Finance, Operations, and executive stakeholders to translate complex business questions into actionable insights, support automation, and promote data-driven decision-making.

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.

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.

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.

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.

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.

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.