Top Analytics Jobs in Dublin

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.

Design and maintain marketing-focused data infrastructure and models in Snowflake and dbt. Build self-serve datasets in Omni, ensure data quality and metadata, enable activation into operational tools, support campaign attribution and funnel reporting, and train stakeholders.

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.

Design and deliver end-to-end product experiences from sketches to high-fidelity prototypes; validate decisions with qualitative and quantitative research; collaborate with PMs and engineers; maintain and contribute to the design system; facilitate workshops; use analytics and A/B testing to inform decisions; ensure accessible, polished, user-first interfaces in a fast-moving remote product team.

Lead and scale paid acquisition channels (e.g., Meta, TikTok, Google), run fast testing loops on creatives and audiences, analyze performance (CPA, ROAS, retention) using GA4/Voluum, optimize funnels and landing pages, build automation/SOPs, manage partnerships with traffic sources, and expand new channels to drive aggressive user growth.

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.

Design, build, deploy, and operate scalable analytics and streaming data platforms. Implement fault-tolerant services for ingestion, storage, processing, and querying; automate large AWS deployments; troubleshoot production incidents; mentor engineers and collaborate with product and data teams to turn ideas into reliable production systems.

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 and grow a hands-on engineering team building cloud-based analytics/SaaS products. Own delivery, architecture, code review, roadmap, hiring, and team development. Ensure scalable APIs and production reliability on public cloud, drive continuous improvement, and apply AI-augmented workflows to raise velocity and quality. Partner with Product and cross-functional teams to align engineering work with business goals.

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.

Designs and delivers data analytics and BI solutions across the analytics lifecycle, produces actionable insights, solves complex problems independently, mentors junior staff, and contributes to policies and technical solutions for large-scope projects.

Lead development and scaling of GBS performance intelligence: define KPI frameworks, govern metrics, design enterprise reporting and semantic layers, enable process intelligence (diagnostics, root-cause), drive adoption and value realization, partner with business, GPOs, EDT and vendors, and provide hands-on support for data validation and solution acceleration.

Support marketing analytics and forecasting by preparing performance reports, collecting/cleaning/analyzing data, developing dashboards in Power BI, assisting forecasting and planning cycles, contributing to cross-functional projects, and communicating insights through data storytelling.

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.

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.

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.

Own a product domain in Everstream's Supply Chain Risk Management platform: define customer problems, prioritise backlog, validate ideas with experiments, partner with Engineering and Data teams, and deliver analytics and decision-support capabilities that produce measurable business outcomes.

Manage requests for new ServiceNow reports and dashboards, resolve dashboard/reporting incidents, train users on dashboards, build executive KPIs and scorecards, engage stakeholders to gather requirements, and apply AI/Generative AI for reporting automation and insights.

Own and build the data transformation layer using dbt and SQL on Trino/GCP. Design scalable data models, enforce modeling and testing standards, optimize query and ETL performance, integrate models with BI and reverse ETL, and collaborate with stakeholders to deliver reliable, auditable data products.

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