Data and AI Analyst

Company: Fortray Consulting Ltd Location: Dublin, Ireland Full Employment Address: Blanchardstown Corporate Park 1, Ballycoolen, Dublin, D15 AKK1, Ireland Job Type: Full-Time, Permanent Salary: Up to €40,000 per annum (depending on experience) Hours: 40 hours per week, Monday to Friday Visa Sponsorship : Candidates who require visa sponsorship may be considered. --- About Fortray Fortray Consulting Ltd is part of Fortray Global Services, a UK-based leader in IT Consulting, Managed Services, Cloud Solutions, Cybersecurity, and Data Analytics. Operating across the UK and Ireland, Fortray helps enterprises leverage technology to improve performance, enhance security, and make smarter, data-driven decisions. As part of our Irish expansion, we are hiring a Data and AI Analyst to strengthen our data intelligence and applied AI functions, supporting automation, insight generation, and research-led innovation across our services. --- Role Overview The Data and AI Analyst will be responsible for extracting, analysing, and interpreting complex datasets to deliver actionable insights that drive operational excellence and business outcomes. The role requires hands-on experience in data analytics, AI/ML model development, and data pipeline design, supporting Fortray’s managed IT, cybersecurity, and cloud service operations. The successful candidate will collaborate across teams to implement data-centric solutions that enable automation, efficiency, and intelligent decision-making. --- Key Responsibilities • Collect, clean, transform, and manage large structured and unstructured datasets from multiple sources. • Build and maintain data pipelines, analytics dashboards, and business intelligence models. • Design, train, and deploy AI/ML algorithms for predictive analytics, anomaly detection, and process automation. • Conduct data exploration, statistical analysis, and visualization to uncover trends, patterns, and insights. • Collaborate with engineering and cloud teams to implement AI and data workflows across platforms such as Azure, AWS, and GCP. • Support data-driven strategy development, providing insights that enhance service quality, customer experience, and performance monitoring. • Ensure adherence to GDPR, data governance, and ethical AI frameworks, maintaining high standards of data integrity and privacy. • Perform R&D in AI, data science, and automation, contributing to innovation initiatives within Fortray. • Prepare detailed technical documentation, reports, and data summaries for internal and client presentations. • Stay updated with the latest trends in data engineering, machine learning, and cloud analytics tools to enhance Fortray’s technology stack. --- Requirements • Bachelor’s degree (or higher) in Data Science, Computer Science, Statistics, Engineering, or a related discipline. • 2–3 years of experience in data analytics, AI/ML development, or data engineering. • Strong programming skills in Python and SQL, with practical use of data libraries such as Pandas, NumPy, and Scikit-learn. • Hands-on experience with Power BI, Tableau, or similar visualization tools. • Knowledge of machine learning frameworks (TensorFlow, PyTorch) for AI model development. • Experience with data warehousing, ETL processes, or cloud data platforms (Azure Data Factory, AWS Glue, BigQuery). • Strong understanding of data structures, data modelling, and API integrations. • Excellent analytical and communication skills with the ability to present complex data simply. --- Desirable Skills • Experience in data engineering, pipeline automation, or data warehouse architecture. • Familiarity with cybersecurity, cloud infrastructure data, or IT operations metrics. • Understanding of AI ethics, GDPR, and data protection standards. • Exposure to predictive analytics, business intelligence, and cloud-based AI deployment. --- Benefits • Competitive base salary with annual performance incentives. • Candidates who require visa sponsorship may be considered. • Professional development through certifications and cross-functional project exposure. • Opportunity to work on enterprise-level AI and data solutions with measurable impact. • Collaborative, inclusive, and innovation-focused workplace culture. --- How to Apply Send your CV and cover letter to . Include reference: DAIA-IRE-2025. Application Deadline: 20 days from posting date.