Find Intelligence data analyst Jobs in Dublin, D

Consultant
LatentView Analytics —Dublin, County Dublin
- Master's degree
- SQL
- AI
Senior Analytics Executive - Consultant (Maternity cover fixed term 12 month contract)
NielsenIQ —Dublin, County Dublin
- €43,300–€43,500 a year
- Full-time
- Hybrid work
- Microsoft Powerpoint
- Microsoft Excel
- Manufacturing
- Employee assistance program
Quick apply
Product Manager
Kitman Labs —Dublin, County Dublin
- Full-time
- Hybrid work
- AI
- Communication skills
- Analytics
Sr Information Security Analyst
ServiceNow —DUBLIN 2, County Dublin
- Weekend availability
- Hybrid work
- Azure
- Computer Science
- Java
Quick apply
Senior Cyber Incident Response Analyst
Integrity360 —Dublin, County Dublin
- Windows
FLIGHT OPS LEAD INVESTIGATOR AND FDM GATEKEEPER
SAS AB —Dublin, County Dublin
- Engineering
- Communication skills
3h
Director, Non-Clinical Competitive Intelligence, Optum Payment Integrity, Operations
Optum —Dublin, County Dublin
- Full-time
- Bachelor's degree
- No degree
- Agile
3d
Product Owner, Community
Salesforce —Dublin, County Dublin
- Full-time
- Sales
- Salesforce
- No degree
9d
Construction Project Analyst
Equinix —Dublin, County Dublin
- Full-time
- Bachelor's degree
- Leadership
- Construction Management
14d
Tax Analyst
Salesforce —Dublin, County Dublin
- Full-time
- Analysis skills
- No degree
- Accounting
2d
Snr Treasury Analyst (Trade Finance)
Honeywell —Dublin, County Dublin
- Full-time
- Analysis skills
- Communication skills
- Banking
- Annual leave
7d
Workday Integration Manager
ICON Plc —Dublin, County Dublin
- Full-time
- Oracle
- Bachelor's degree
- No degree
10h
Senior Data Engineer
Optum —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Windows
8d
Software Engineer
Kitman Labs —Dublin, County Dublin
- Full-time
- Hybrid work
- EMR systems
- Analytics
Senior Product Manager
RWS Group —Dublin, County Dublin
- Full-time
- Microsoft Excel
- Sales
- No degree
Technical Lead
RWS Group —Dublin, County Dublin
- Full-time
- Microsoft Excel
- DevOps
- Java
Utility Software Product Management Lead
Honeywell —Dublin, County Dublin
- Full-time
- Mentoring
- AI
21h
Principal Commercial Analyst
CarTrawler —Dublin, County Dublin
- Hybrid work
- Presentation skills
- Business
- Communication skills
- Annual leave
- Employee assistance program
Manager, EMEA Treasury Operations
Salesforce —Dublin, County Dublin
- Full-time
- Salesforce
- English
- Master's degree
Manager - Trading VIP Profiling
Hard Rock Digital —Dublin, County Dublin
- Full-time
- Remote
- Analysis skills
- Leadership
- Work from home
Quick apply

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Consultant

LatentView Analytics -
Dublin, County Dublin

Apply Now

Job details

Permanent

Qualifications

CI/CD
Law
Master's degree
SQL
AI
Leadership
Python

Full job description

LatentView Analytics is a leading global analytics and decision sciences provider, delivering solutions that help companies drive digital transformation and use data to gain a competitive advantage. With analytics solutions that provide a 360-degree view of the digital consumer, fuel machine learning capabilities, and support artificial intelligence initiatives., LatentView Analytics enables leading global brands to predict new revenue streams, anticipate product trends and popularity, improve customer retention rates, optimize investment decisions, and turn unstructured data into valuable business assets.

Designation : Consultant

Location : Dublin, Dublin , Ireland

Experience : 4 to 10 years

Job Role :

We are seeking an experienced AI & Data Engineering Resource Capability Specialist to lead workforce strategy, skill capability mapping, and resource management for our growing AI, Machine Learning, and Data Engineering practices.

In this role, you will sit at the intersection of technical delivery and strategic operations. You will be responsible for ensuring our projects have the right technical talent assigned at the right time, while actively designing learning paths to upskill teams on emerging technologies (LLMs, GenAI, MLOps, modern data stacks)

Responsibilities :

1. Technical Delivery & Project Execution

Delivery Oversight: Act as the technical anchor across active AI and Data Engineering engagements, ensuring architecture, data pipelines, and AI models meet quality standards and performance benchmarks.

Technical Risk Mitigation: Identify technical bottlenecks, data governance risks, and deployment blockers early in the project lifecycle, collaborating with engineering leads to implement fast solutions.

Standards & Best Practices: Enforce modern engineering frameworks across project teams, including CI/CD for ML (MLOps), code reviews, data testing, security protocols, and ethical AI standards.

2. Project Planning & Technical Scoping

Technical Roadmapping: Translate client business requirements into concrete AI and Data Engineering project plans, deliverables, technical milestones, and sprint backlogs.

Resource Architecture: Determine the exact technical skill mix, team topology, and tool stack needed to successfully execute specific project scopes.

Feasibility & Solutioning: Work with project leads during inception to validate technical feasibility, assess data maturity, and select appropriate platforms (e.g., cloud stack, vector databases, LLM orchestration frameworks).

3. Team Leadership, Mentorship & Technical Guidance

Hands-on Guidance: Provide day-to-day technical direction to Data Engineers, ML Engineers, and AI Developers, helping them solve complex architecture, ETL, and modeling challenges.

Code & Architecture Reviews: Lead technical reviews to ensure pipelines, API integrations, and AI models are scalable, efficient, and maintainable.

Team Empowerment: Establish a culture of technical excellence, psychological safety, and innovation, guiding the team through complex technical transitions (e.g., migrating to GenAI/RAG architectures).

4. Upskilling & Technical Capability Development

Technical Learning Frameworks: Design and lead structured technical upskilling programs to transition traditional Data Engineers into Modern Data & GenAI/ML Engineers.

Hands-on Labs & POCs: Drive internal technical initiatives, hackathons, and Proof-of-Concepts (POCs) to give engineers practical experience with emerging tools (e.g., LangChain, LlamaIndex, Databricks, Snowflake, MLOps tooling).

Certifications & Skill Progression: Establish clear technical competency paths and mentor team members through cloud platform, data engineering, and AI/ML industry certifications.

Required skills :

DE, AI strategy analyst (Python, SQL, AI Tools & Infra)

At LatentView Analytics, we value a diverse, inclusive workforce and provide equal employment opportunities for all applicants and employees. All qualified applicants for employment will be considered without regard to an individual's race, colour, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws.

Job Snapshot

Updated Date

17-08-2026

Job ID

J_5666

Location

Dublin, Dublin, Ireland

Experience

4 - 10 Years

Employee Type

Permanent

Apply Now

Refine Your Search

intelligence data analyst jobs in dublin, d

Consultant

Senior Analytics Executive - Consultant (Maternity cover fixed term 12 month contract)

Product Manager

Sr Information Security Analyst

Senior Cyber Incident Response Analyst

FLIGHT OPS LEAD INVESTIGATOR AND FDM GATEKEEPER

Director, Non-Clinical Competitive Intelligence, Optum Payment Integrity, Operations

Product Owner, Community

Construction Project Analyst

Tax Analyst

Snr Treasury Analyst (Trade Finance)

Workday Integration Manager

Senior Data Engineer

Software Engineer

Senior Product Manager

Technical Lead

Utility Software Product Management Lead

Principal Commercial Analyst

Manager, EMEA Treasury Operations

Manager - Trading VIP Profiling

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