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Data and AI Analyst

Fortray Consulting Limited • 🌐 In Person

In Person Posted 5 days, 22 hours ago

Job Description

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

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