Top Analytics Jobs in Dublin

Manages a portfolio of strategic and growth customers, serving as the primary relationship owner and trusted advisor. The role drives customer adoption, value realization, retention, renewals, advocacy, and account expansion. Responsibilities include developing success and account plans, leading QBRs, managing customer health and escalations, identifying AI and Microsoft technology opportunities, maintaining forecasts and CRM records, and collaborating with delivery, support, consulting, and sales teams.

Owns a portfolio of high-risk enterprise customers, serving as the primary escalation point for complex issues and attrition risks. Partners with executives and cross-functional teams to prioritize resolutions, coordinate resources, communicate status, and improve customer satisfaction. The role analyzes root causes and trends, develops best practices for Red Account management, drives systemic process improvements, and provides consultative guidance across Salesforce clouds and enterprise technical environments.

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.

Owns Kota’s B2B demand-generation engine across paid, organic, lifecycle, self-serve, and partner marketing. The role is responsible for pipeline, revenue attribution, funnel conversion, customer activation, and partner-sourced growth across the UK, Ireland, and Europe. This hands-on player-coach will manage campaigns, marketing technology, agencies, and attribution while building the growth team over time.

Own end-to-end architecture for enterprise AI-powered customer experience programs. Design secure, scalable integrations across Genesys Cloud, AI services, enterprise applications, data platforms, and third-party technologies. Lead architecture workshops, technical governance, responsible AI planning, and stakeholder discussions. Mentor consultants and develop reusable architectures, standards, and best practices while advising customers and delivery teams on virtual agents, agent copilots, knowledge systems, automation, and analytics.

Lead global product marketing for Telnyx’s technical connectivity platform. Own positioning, segmentation, competitive differentiation, developer-focused distribution, solution packaging, launches, sales enablement, and AI-native marketing operations. Partner with Product, Engineering, Sales, Developer Relations, and Marketing to create runnable demos, integrations, technical content, and commercial plays that drive adoption, qualified pipeline, conversion, and enterprise revenue.

Leads a global team of 17–22 data scientists and analytics professionals developing optimization, predictive risk modeling, and Applied AI solutions for pharmaceutical manufacturing. Sets technical direction, builds reusable analytics products, reduces quality and supply disruption risk, improves efficiency and throughput, and partners with senior executives across manufacturing, quality, technology, and supply functions.

Leads BGE’s data science and analytics function, managing teams and delivering diagnostic, predictive, and prescriptive analytics. Responsibilities include strategy, stakeholder engagement, analytical product development, cloud data solutions, model governance, responsible AI, automation, and lifecycle management. The role also requires coaching talent, prioritizing high-value opportunities, ensuring data quality and compliance, and deputizing for the Head of the Data Centre of Excellence.

Build and manage scalable partner marketing programs that generate demand and pipeline. Own partner segmentation, messaging, joint campaigns, partner enablement, budget allocation, and MDF investments. Measure partner-sourced and partner-influenced pipeline, engagement, and ROI while coordinating with Channel, Demand Generation, Product Marketing, Sales, Content, and Revenue Operations. Improve workflows through AI and automation in a fully remote, global environment.

Provides international legal, compliance, risk management, and regulatory guidance across global operations. Negotiates cross-border technology and commercial agreements, manages privacy and governance matters, coordinates outside counsel, monitors legal developments, and advises leadership on international growth, litigation, and regulatory compliance.

Partners with Product and Engineering leaders to deliver SQL-driven insights, metrics, dashboards, and executive reporting. Leads strategic planning, goal-setting, operational reviews, and cross-functional initiatives while applying ROI-based decision-making. Requires advanced analytics, large-dataset expertise, strong communication, stakeholder management, and experience supporting Sales or Operations organizations. AI tool experience and demonstrated impact are required, with product, engineering, visualization, fintech, or consulting experience preferred.

Manage 15–20 concurrent, 8–10-week implementations for mid-market and enterprise SaaS customers. Develop implementation plans, configure complex multi-module systems, guide change management, advise on best practices, track milestones, and ensure rapid customer value. Build strong customer relationships, communicate progress, solve implementation challenges, improve processes, and collaborate with Customer Success, Sales, Product, Engineering, and Operations. Travel under 10% for customer engagements.

Leads a global team delivering technology, data analytics, automation, and AI-driven solutions for legal, compliance, and regulatory functions. Owns the global technology roadmap, drives process innovation and operational excellence, and translates business needs into system specifications, user stories, and process flows. Requires leadership of international teams, global project delivery, automation strategy, stakeholder management, and experience with reporting, database, and analytics applications.

Leads integrated internal and external communications strategies for Coca-Cola, aligning local plans with global narratives. Develops digital, social, editorial, written, and visual content; manages communications calendars; coordinates with global teams, marketing, bottling partners, and business leaders; supports reputation management; establishes audience and channel plans; and tracks social performance metrics to optimize content and engagement.

Design and build large-scale data pipelines and models, create dashboards and tools, define and validate business metrics, ensure data quality and performance across distributed systems, and partner with analysts, engineers, and product managers to deliver actionable analytics.

Leads data and analytics consulting projects for infrastructure and real estate clients. Responsibilities include managing project teams, gathering requirements, developing data processes and models, designing data solutions, building dashboards, testing and assuring solutions, supporting decision-making, and preparing client communications and business-development materials. The role also involves client engagement, project delivery, business generation, and people development.

Administer SKAN AI and ProHance platforms, develop Power BI dashboards and automated reporting, analyze operational and workforce data, and identify process improvement opportunities. The role supports process intelligence, productivity analysis, workflow automation, system integrations, business application development, and data-driven recommendations. Responsibilities also include stakeholder engagement, user training, documentation, governance, platform maintenance, and translating business requirements into scalable analytics and process optimization solutions.

Own the analytics product vision, roadmap, prioritization, and delivery across Clinical Solutions. Lead customer-facing and internal dashboards, KPIs, embedded insights, data quality, governance, and generative AI applications. Partner with technology, informatics, analytics, commercial, sales, marketing, and customer success teams to deliver measurable clinical and business outcomes. Represent analytics priorities, drive adoption, and monitor healthcare technology, regulatory, and industry trends.

Leads the analytics strategy, roadmap, growth agenda, and portfolio expansion for Retrospective Coordination of Benefits and Reverification. Partners with Product, Operations, Technology, Growth, and Analytics teams to identify use cases, build business cases, measure financial and operational value, and drive adoption of predictive analytics, GenAI, and Agentic AI solutions. Advises senior leadership and resolves complex business challenges through enterprise-scale analytics initiatives.

Own the analytics product vision, roadmap, prioritization, and delivery across Clinical Solutions. Develop customer-facing and internal dashboards, KPIs, embedded insights, and generative AI capabilities that improve healthcare decision-making. Translate strategy into execution with technology, informatics, analytics, commercial, and customer success teams. Define product outcomes, ensure data quality and governance, support commercialization and adoption, and monitor healthcare technology and regulatory trends.

Lead Toast’s Dublin-based OLAP Platform engineering team, defining technical strategy, scaling real-time analytics infrastructure, improving performance and cost efficiency, and establishing governance for AI-driven consumers. The role involves cross-team roadmap alignment, developer experience ownership, operational metrics and monitoring, incident prevention, and mentoring engineers while fostering an inclusive, high-ownership culture.

Sell Omni's AI analytics platform to Benelux mid-market and enterprise accounts. Manage full sales cycle using MEDDPICC and 3 Whys, lead POCs and workshops with Solutions Engineering, build channel and SI partnerships, develop renewal and upsell business cases, and produce accurate GTM forecasts to exceed quotas.

Leads client-facing data analytics and digital assurance engagements across infrastructure and real estate. Responsibilities include designing data-driven solutions, producing technical specifications, managing client accounts, assuring project delivery, developing teams, and driving business development, proposals, and new client relationships. The role requires expertise in analytics, business intelligence, cloud technologies, data engineering concepts, project controls, and digital solutions, along with strong communication, commercial, and people-management skills.

Designs and delivers epidemiologic and real-world evidence analyses using claims, EHR, registry, laboratory, and other healthcare data. Responsibilities include study design, cohort development, statistical modeling, causal inference, programming in R, SQL, and Python, quality control, reproducible workflows, and interpretation of results. The role also develops reusable analytical assets, federated OHDSI/OMOP studies, automation, and AI-enabled workflows while validating outputs and translating scientific requirements for engineering partners.

Lead independent product analytics investigations across acquisition, activation, usage, customer experience, and the broader customer journey. Apply statistical analysis, causal inference, experimentation, and data science modeling to uncover product issues, opportunities, churn drivers, and growth insights. Analyze structured, unstructured, and AI-specific data; size opportunities; measure engineering productivity; and translate findings into actionable recommendations for Product, Engineering, Growth, commercial teams, and executives.