Find Data analyst, grade 8 data analytics ref no.626 Jobs in Dublin, D

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DAM (Digital Asset Management) Business Analyst

Glanbia Foods -
DUBLIN 24, County Dublin

Apply Now

Job details

Permanent

Qualifications

SAFe
System design
Master's degree
Analysis skills
Bachelor's degree
Agile
Business requirements
Communication skills

Full job description

Date: 11 Jul 2026

Location: Dublin, IE, D24 PE08

Company: Glanbia

DAM Business Analyst

Glanbia Enterprise Solutions

Role Overview

The DAM (Digital Asset Management) Business Analyst acts as a key bridge between the Business and IT by translating Business needs into detailed requirements and technology-enabled use cases. They develop a deep understanding of the opportunities, risks, and issues facing the Business, and advise on how technology solutions can be used to achieve / resolve them.

This permanent opportunity reports to the Foundation Tech Product Manager.

Key Responsibilities

Strategic Alignment & Business Engagement

Collaborate with the Product Manager to define and execute the DAM strategy aligned with business objectives.
Act as the subject matter expert for the DAM ecosystem, promoting best practices and driving adoption across global teams.
Advise stakeholders on the impact of business process decisions on technology, cost, and complexity to enable informed decision-making.

Requirements Gathering & Backlog Management

Elicit, document, and manage detailed business requirements (features, user stories) and translate them into actionable technology solutions.
Prioritize and manage the product backlog in partnership with the Scrum Master, ensuring alignment with strategic goals.
Conduct workshops with business teams to validate requirements and identify opportunities for process optimization and automation.

System Design, Configuration & AI Enablement

Document current and future state processes, identifying areas for improvement and automation.
Configure and maintain multiple workflows within the DAM application to support business needs.
Leverage the DAM applications AI capabilities to automate metadata tagging, asset classification, and other repetitive tasks.

Technical Delivery & Quality Assurance

Support development and testing teams by clarifying requirements and expected system behaviour.
Perform functional testing for new features, integrations, and upgrades to ensure solutions meet business needs.

Governance & Compliance

Ensure data governance standards are applied within DAM, including security and compliance considerations for sensitive assets.
Establish and maintain Disaster Recovery and Business Continuity plans for the DAM ecosystem.

Training & Adoption

Develop user guides and training materials; deliver training sessions for key users and support teams.
Monitor and report on application usage and adoption to ensure ROI realization.

Continuous Improvement

Identify and implement automation opportunities within DAM and related processes.

Support & Escalation

Act as the point of escalation for complex issues raised by the Application Support team.
Provide expert guidance on troubleshooting and resolution.

The skills you will bring to the team

Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Information Technology, or Engineering), or equivalent experience.
Career experience in Food & Beverage or other related industry highly desirable.
Proven experience in eliciting and managing detailed business requirements.
Good business knowledge in a relevant functional domain (e.g., IT, Finance, R&D), and how the opportunities, risks, and issues in these domains can be addressed by technology.
Experience in analysing business challenges using structured frameworks and methodologies.
Strong analytical and problem-solving skills for developing technology-enabled use cases and analysing Business needs.
Experience in modelling system processes; knowledge of common notational standards is beneficial (e.g., BPMN).
Able to design and execute functional tests, with experience managing bugs / defects through to remediation.
Basic knowledge of software engineering, information risk, security standards, and technology solutioning is beneficial.
Hands-on experience in Agile methodologies and practices (e.g., SAFe, Scrum, Kanban) is beneficial.
Good communication skills with an ability to build rapport with a wide range of different Business and IS stakeholders.

Where and how you will work

The opportunity will be based in Citywest, Dublin 24 with hybrid working arrangements available which offer you a greater choice in how you work and live, giving you a better work-life balance.

What we would like to offer you!

The opportunity to develop your career on a global stage, continuous learning through an on-demand learning platform, and a competitive compensation package including staff discounts, generous family leave policy, competitive salary.

About Glanbia

Glanbia is a better nutrition company with three divisions: Performance Nutrition, Health & Nutrition and Dairy Nutrition. Collectively and with our partners we offer an incredible breadth of expertise in nutrition. We employ a team of 5800 people, work with global food and beverage companies, and sell our award-winning and market-leading brands and ingredients in more than 100 countries worldwide

At Glanbia, we celebrate diversity, because we know that our individual strengths make us stronger together. We welcome and encourage interest from a variety of candidates, we will give your application consideration, without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.

At Glanbia, our culture celebrates individuality, knowing that together we are more.

Apply Now

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data analyst, grade 8 data analytics ref no.626 jobs in dublin, d

DAM (Digital Asset Management) Business Analyst

Senior Financial Analyst

Manager, Business Intelligence and Market Insights

EMEA Senior Tax Analyst

Manager, Business Intelligence and Market Insights

Principal Commercial Analyst

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