Top Analytics Jobs in Dublin

Responsible for managing a defined sales territory, acquiring and onboarding dental customers (especially orthodontists), promoting Invisalign and digital solutions, building territory and account plans using data and analytics, and collaborating with internal teams to optimize customer experience and drive practice growth.

Hands-on director-level product designer for enterprise SaaS who owns the design system, user psychology, dashboards, data visualizations, and habit-forming product mechanics. Designs workflows to drive adoption, retention, referrals, and expansion while partnering with Product, Engineering, Sales, and Customer Success. Prototypes, tests, and refines UX based on analytics and A/B experiments to align design with revenue metrics.

Lead and expand analytics capabilities at Yassir, overseeing a team to deliver insights for strategic decisions and operational excellence.

Provides customer-facing Workday consulting through configuration guidance, troubleshooting, feature demonstrations, presentations, tenant reviews, optimization packages, and feature deployments. Advises customers on Workday Financials Reporting, helps drive feature adoption, delivers configuration and business requirements reviews, and contributes to new customer enablement programs. Maintains Workday expertise and certifications while managing multiple engagements and communicating complex technical concepts clearly.

Serve as strategic partner to the HR Europe Leader, translating people strategy into action. Lead HR transformation, organizational design, workforce planning, and change management across Europe. Manage HR workstreams for M&A, due diligence, and integrations. Drive HR effectiveness via process simplification, analytics, automation and AI. Coordinate governance, stakeholder engagement, and delivery; prepare executive materials and lead a Project Manager supporting regional initiatives.

Lead and execute user acquisition and performance marketing to scale an AI-powered crypto search platform. Design growth loops, run growth-hacking experiments, optimize CAC/LTV, partner with product and engineering to integrate growth features, and manage the growth tech stack and analytics to improve onboarding and retention.

Lead the Talent Science team ensuring data-driven processes for recruitment, coaching team members, and delivering strategic project outcomes.

Lead end-to-end process mapping and analysis using BPMN and process/task-mining tools to identify inefficiencies, create As-Is/To-Be documentation, define BRDs, model future-state scenarios, and drive cross-functional implementation with executive reporting.

Deliver micro-consulting to Workday customers: troubleshoot and configure Workday features, build and maintain Prism Analytics and reporting, present feature demonstrations and webinars, review tenants for adoption opportunities, provide one-on-one accelerators, and help create programs to drive customer feature adoption and deployments.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

As an Engineering Manager, you'll lead a remote team, manage MLOps projects, ensure high performance, and mentor engineers while driving product strategies.

Develop, validate, and deploy machine learning and statistical models for soccer betting products. Create soccer-specific features, run offline and online experiments, collaborate with data engineering and product teams, follow software engineering best practices, document work, and present findings to technical and non-technical stakeholders.

Lead GTM and GA4 implementation, audits, and maintenance across web and mobile. Configure tracking for campaigns and third-party ad platforms, debug data layers and tags, ensure privacy compliance (GDPR/CCPA), document tracking schemas, and train stakeholders. Provide campaign measurement, insights, and ongoing optimization to support Marketing, Product, and Engineering teams.

Provide portfolio analytics and reporting for private markets clients, manage client delivery cycles, review and sign-off on deliverables, lead ad hoc projects, and mentor junior staff. Coordinate with accounting, research, and investor relations to ensure timely, accurate reporting and maintain institutional knowledge and succession plans.

Design and maintain scalable data models in Snowflake using dbt, expose datasets via BI tools, manage ingestion and data activation, enforce data quality and metadata, mentor junior engineers, and lead training to enable self-service analytics.

Lead a cross-functional People Analytics product squad to build predictive and prescriptive people-data products. Drive product ownership, data stewardship, GDPR-compliance, AI-agent enabled insights, and partner with business teams to turn analytics into measurable outcomes. Mentor team members and support roadmap delivery across global operations.

Design and evolve systems for Motion's infrastructure, focusing on reliable and secure operations across APIs, Linux systems, and cloud environments with a focus on hands-on coding and engineering judgment.

The Senior Software Engineer will focus on backend development, designing and maintaining APIs and services, collaborating on features, and enhancing integrations at Motion.