At a Glance
- Tasks: Bridge the gap between business needs and tech solutions in a dynamic environment.
- Company: Join Glanbia, a global leader in nutrition with a diverse and inclusive culture.
- Benefits: Enjoy hybrid working, competitive salary, staff discounts, and continuous learning opportunities.
- Other info: Great career growth potential in a supportive and innovative team.
- Why this job: Make a real impact by optimising processes and leveraging cutting-edge technology.
- Qualifications: Degree in IT or related field; experience in business analysis is a plus.
The predicted salary is between 45000 - 55000 £ per year.
- 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 Vauxhall, London 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.
DAM (Digital Asset Management) Business Analyst employer: Glanbia
Glanbia Performance Nutrition UK is an exceptional employer that prioritises employee growth and development within a vibrant and inclusive work culture. With a strong commitment to delivering better nutrition, employees are empowered to make a meaningful impact while enjoying competitive benefits and opportunities for advancement in a dynamic industry.
StudySmarter Expert Advice🤫
We think this is how you could land DAM (Digital Asset Management) Business Analyst
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Glanbia!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace DAM (Digital Asset Management) Business Analyst
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Glanbia, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Glanbia
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Glanbia’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.