Top Data Analyst Jobs in Dublin

Analyze complex pricing, financial, rebate, and network-performance data using SQL and Python. Build analytical models, visualizations, monitoring tools, and deal profitability tracking to compare forecasts with actual outcomes. Investigate variances, test assumptions, identify risks and opportunities, improve forecasting, and provide actionable recommendations to analytics, underwriting, and finance partners. Document methods, definitions, and quality checks to ensure trustworthy, reusable analysis.

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.

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.

Analyze Sportsbook product performance, conduct testing, create regular and ad hoc reports, and deliver insights that support product development and user-experience optimization. Partner with senior stakeholders, analysts, and data scientists to guide data-driven decisions. Develop statistical analyses and models, present metrics, and serve as a trusted analytical advisor within a fast-growing sports betting and gaming organization.

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.

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.

The Data Analyst will build and maintain dbt models, analyze billing and SaaS metrics, monitor data quality, maintain Metabase reporting, and support acquisition due diligence. The role involves tracing data from source systems through ingestion and transformation, resolving production issues, validating results, and communicating findings to technical and business stakeholders. The analyst will also maintain Airbyte integrations, document data definitions, and use AI tools responsibly in daily data work.

Own GTM and sales analytics across pipeline performance, forecasting, funnel conversion, win/loss analysis, lead and account scoring, territory planning, quota modeling, and capacity planning. Partner with RevOps, Sales, Product, Finance, and Analytics Engineering to improve metric definitions, Salesforce and product data models, dashboards, and decision-making. Translate complex analysis into clear recommendations for GTM leadership.

Supports the reliability and operation of a Databricks-based enterprise data platform. Responsibilities include monitoring pipelines and Azure services, triaging incidents, coordinating releases and production handovers, maintaining governance documentation and dashboards, supporting access and environment management, and improving observability, automation, and DataOps practices during the migration from Teradata to Databricks.

Lead marketing analytics and M&A data integration initiatives. Harmonize KPIs, attribution, reporting, and data landscapes; build scalable marketing data models and ELT pipelines; create dashboards; analyze advertising and mobile measurement platforms; deliver executive insights; and lead cross-functional analytics projects involving multiple business units.

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.

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.

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.

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.

The Senior Data Analyst will support the Investment Management team, translating complex datasets into insights, developing analytical models, and collaborating with data engineers on analytics and data solutions.

Lead marketing measurement: own attribution, incrementality testing, and media mix modeling. Design and analyze experiments, build repeatable templates and self-serve analytics, translate results into budget and growth recommendations, ensure data integrity, and embed AI tools into analysis workflows to measure pipeline and revenue impact.