Top Analytics Jobs in Dublin

Leads end-to-end delivery of global R&D analytics and data initiatives, managing plans, budgets, risks, dependencies, governance, stakeholders, vendors, and transitions to business-as-usual operations. The role aligns analytics roadmaps with enterprise technology standards, coordinates cross-functional teams, prepares portfolio reporting, and applies Agile, Waterfall, or hybrid delivery methods to achieve measurable business outcomes.

Leads CFO advisory and finance transformation engagements, including finance strategy, operating model design, process improvement, AI and automation use cases, ERP/EPM enablement, reporting, and performance management. Translates CFO priorities into requirements, roadmaps, solution designs, and measurable outcomes; manages stakeholders, multidisciplinary teams, client delivery, proposals, and business development. Requires strong finance transformation expertise, professional accounting qualification, consulting experience, and familiarity with modern finance technologies.

Build and ship mobile features for BJAK's AI Neobank across Android, iOS, or cross-platform. Collaborate with backend, design, product and AI teams to deliver onboarding, payments, accounts, cards, transfers, rewards, FX and AI-assisted experiences. Improve app quality via analytics, crash reports and production feedback; own features from problem definition through release and production support.

Design, build and ship Android and/or iOS features for an AI Neobank. Create mobile flows for insurance, payments and claims; integrate APIs; handle edge cases, performance, crashes and analytics; collaborate with product, design and backend; support fast launches and experiments.

Leads global people analytics, HCM reporting, and U.S. compliance reporting using Workday and PeopleSoft. Develops reporting solutions, gathers requirements, manages testing, troubleshoots integrations and workflows, maintains data mappings, and supports data audits. Partners with HR stakeholders on projects, ad hoc requests, privacy reviews, documentation, and training. Oversees reports including EEO, AAP, VETS-4212, California pay data, and other regulatory submissions while improving enterprise reporting processes.

Drive strategy, delivery, and optimization of consumer crypto trading products. Build growth programs, creator- and community-driven experiences, referral and rewards systems, and tokenized real-world asset products. Use Web3 trading expertise, market data, experimentation, and user metrics to improve activation, retention, and trading volume while coordinating with global cross-functional teams and partners.

Own and improve Isla’s analytical data infrastructure, including BigQuery data models, pipelines, quality frameworks, dashboards, and reporting. Analyze complex datasets to measure product adoption, clinical efficiency, and patient outcomes. Enable self-service insights, support data-driven decisions across teams and healthcare clients, and guide data architecture and continuous improvement while collaborating with Product, Engineering, Delivery, and Commercial teams.

Build and own AI-powered product features across Motion’s platform, agentic harness, and customer-facing Runneth product. Responsibilities include understanding user problems, making architectural decisions, shipping rapidly to production, owning significant initiatives, improving systems across the stack, and resolving blockers in a high-ownership environment. The role is an individual contributor position suited to a technical founder or early engineer who has personally built and shipped startup products.

Serve as a customer-facing technical advisor for industrial analytics software. Design and implement scalable solutions, uncover high-value process-data use cases, guide customer adoption, troubleshoot integrations, mentor partners, and influence product roadmaps. Apply industrial process expertise to translate customer needs into technical solutions, collaborate with product and account teams, and communicate effectively with technical and executive stakeholders.

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.

Manages compensation processes, pay ranges, job families, and annual compensation cycles. Maintains HR data accuracy, governance, privacy, and reporting processes while developing Power BI and Excel dashboards. Analyzes workforce trends, provides insights to senior stakeholders, supports HR technology and analytics implementation, and improves compensation and reporting workflows. The role also collaborates with HR teams, presents findings, and supports data training and process improvement.

Support Engagement Manager on customer operations and sales improvement projects: project planning, client engagement, data analysis using Excel and generative AI, creating PowerPoint deliverables, conducting research, and collaborating with teams to deliver recommendations.

Support engagement managers on customer service and sales improvement projects: perform data analysis and Excel modeling, create PowerPoint deliverables, engage with clients, run workshops, leverage generative AI to accelerate insights, and contribute to research and knowledge development.

Support engagement management for customer service and sales projects: perform data analysis and modeling, build Excel models and PowerPoint deliverables, integrate generative AI into workflows, engage with clients, and contribute research and knowledge development.

Build and operate highly available analytics platform services handling large-scale event streams and terabytes of data. Design streaming ingestion, storage, search, aggregation, and distributed systems using Java, Spring, AWS, and Kafka. Deploy and automate cloud infrastructure, improve reliability and performance, troubleshoot production incidents, and collaborate with engineering, product, and data teams. Contribute through code reviews, mentoring, testing, observability, and automation.

Produces private debt portfolio analytics and reporting for institutional clients, analyzing performance, exposures, cash flows, and data quality. Investigates discrepancies, supports reporting automation, improves reporting methodologies, and maintains private markets data. Collaborates with investment, accounting, research, and investor relations teams to deliver accurate and timely outputs. The role requires strong financial data analysis, reconciliation, reporting, and process improvement skills.

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.

Own the data transformation layer by building scalable dbt and SQL models on Trino and GCP infrastructure. Establish standards for modeling, testing, monitoring, version control, and data quality. Partner with finance, operations, customer success, marketing, and business stakeholders to deliver reliable data products for BI, reporting, and reverse ETL. Optimize warehouse performance and ETL efficiency while supporting near-real-time metrics and financial reporting.

Lead Eneba’s analytics engineering function and a team of approximately 10 engineers. Set strategy, establish data-modeling architecture and quality standards, and deliver trusted, curated data for business teams, BI tools, and AI agents. Partner with senior stakeholders, translate business needs into technical direction, evaluate analytics tooling, promote self-service analytics, and coach team members through hiring, performance management, and professional development.

Lead a GTM Analytics team supporting Marketing, Sales, RevOps, and Customer Operations. Manage embedded analysts, establish trusted reporting and QA processes, review SQL and dashboards, guide funnel, campaign, sales, support, forecasting, segmentation, attribution, and experimentation analysis, and deliver executive recommendations. Partner with GTM leaders and data engineers, coach analysts, and develop self-service analytics, automation, governed dashboards, metric documentation, and AI-assisted workflows.

Lead people analytics and BI initiatives supporting talent management, development, acquisition, and diversity programs. Develop talent metrics, dashboards, statistical analyses, predictive models, survey insights, and data-quality tools using Tableau, Power BI, R, Python, and SQL. Partner with stakeholders and executives to communicate actionable findings, improve reporting frameworks, standardize metrics, and provide training and support.

Own the strategy, roadmap, and delivery of RevenueCat’s analytics products, including charts, benchmarking, dashboards, and predictive LTV. Investigate complex data issues, develop metrics and benchmarks, define product vision, and collaborate with engineering, data science, design, leadership, and go-to-market teams. The role requires strong product management experience, analytical and technical fluency, customer empathy, data visualization expertise, and the ability to make independent product decisions in a remote environment.

Hunt and close enterprise mobile SaaS deals across EMEA, managing full sales cycle from prospecting and demos to negotiation and handoff. Build long-term client relationships, hit revenue targets, coordinate with Customer Success and Product, represent the brand at industry events, and provide market feedback internally.

Support global revenue operations by ensuring data quality, managing CRM/CPQ/processes, producing sales analytics and dashboards, enabling sales teams, improving lead-to-order automation, and supporting planning for pipeline, territory, quota, and renewals.

Produces and reviews private debt portfolio reporting and analytics for institutional clients. Analyzes performance, exposures, cash flows, and data quality; investigates discrepancies; supports reporting automation, visualization, process improvements, and private markets data infrastructure. Partners with investment, accounting, research, and investor relations teams while providing technical guidance to junior staff.