Top Analytics Jobs in Dublin

Electra Vehicles is looking for candidates for various roles to help improve electric vehicle battery performance using AI software.

The Community Portal Manager will oversee the community platform's performance, drive user engagement through programs and content, and ensure operational efficiency, while working cross-functionally to support client success and feedback.

Design end-to-end product experiences, validate design decisions through research, collaborate with teams, and enhance design systems while facilitating workshops.

The Director of Enterprise Sales will lead and grow the EMEA sales function, mentoring a team while driving complex, consultative software sales into industrial markets.

The Senior Solution Consultant provides technical support to clients, leads presentations and workshops, mentors junior consultants, and collaborates on customer needs to drive satisfaction using Guidewire solutions.

Lead product marketing efforts for Network Detection and Response by developing messaging, driving demand, and enabling sales teams. Focus on customer advocacy and content creation throughout the buyer journey.

Lead and manage the Pricing & Supply Analytics team at CarTrawler, focusing on optimizing revenue management through data-driven strategies and collaboration with Data Science.

The Head of Tradeify TV will manage and scale a live media division, overseeing production and content strategy for a YouTube channel focused on trading.

Collaborate with finance and data teams to design data structures, automate controls, manage audits, and ensure financial data consistency.

Lead an agile team of software developers to build and support big data products, ensuring high performance and reliability in the Genesys Cloud Analytics platform.

The Associate Data Analyst will support data analysis, develop forecasting models, automate reporting, and analyze trading performance metrics.

The role involves designing and developing scalable big data solutions, collaborating with teams, participating in code reviews, and maintaining services in AWS.

The Staff Engineer will design and implement backend systems for marketing web stack, focusing on data architecture, analytics, and collaboration with cross-functional teams.

The Analytics Engineer will architect and maintain Rollstack's data stack, build data pipelines, normalize data, and support analytics for product and GTM teams.

As a Data Scientist/Analyst in the GLCR Service delivery team, you will analyze data, manage analytics infrastructure, refine models, and utilize AI and automation to support AIG's compliance goals.

The IT EBA Business Systems Analyst will drive application enhancements, manage system configurations, execute testing, and support critical incidents. Requires knowledge of Business Objects and finance processes, with project management and communication skills.

The role involves driving process improvements, analytics, and transformation initiatives using data-driven approaches. Responsibilities include process mapping, root cause analysis, and supporting automation strategies.

The Process Analyst develops strategic plans through process mapping, analysis, and improvement, utilizing Lean Six Sigma principles to drive performance and efficiency.

Analyze and improve business processes by performing data analysis, creating process maps, and supporting data-driven decision making. Must communicate insights effectively and apply Lean Six Sigma principles.

The Senior Analytics Engineer will lead data analytics initiatives, build dashboards, and collaborate with various teams to enhance data-driven decision-making across the organization.

As a Senior Data Analyst, you'll analyze B2B marketing funnels, develop LTV models, ensure data integrity, and provide insights for marketing strategies.

This role is for graduates to begin their career in Data Analytics and AI. You will assist in client projects and gain diverse experience in a supportive environment with continuous learning opportunities.

The Analytics Engineer will design and maintain data models, collaborate with stakeholders for KPIs, ensure data quality, and create visualizations. They will optimize dbt models, write SQL queries, and improve data processes.

The role involves leading Treasury data governance, reporting, and analytics, enhancing processes, collaborating across teams, and driving AI/ML adoption.

The role involves owning analytics for engineering, building dashboards in Tableau, architecting data pipelines, and communicating insights to leadership.