Graduate Field Transformation & Automation Analyst

Graduate Field Transformation & Automation Analyst

Location: Cork, Ireland (Ovens Campus)

Target Audience: Recent Graduates (≤ 1 year)

Shape the Future. Challenge the Status Quo.

Join us as a Graduate Field Transformation & Automation Analyst on our Field Transformation team in Cork, Ireland. In this role, you'll bring fresh thinking, analytical capability, and emerging technology to help transform how our global Field organization operates.

Working with stakeholders across Field Services, Partner organizations, Operations, and other cross-functional teams, you'll contribute to transformation initiatives focused on simplifying work, improving processes, increasing efficiency, and creating more scalable ways of operating.

You'll have the opportunity to apply AI, agentic automation, data analytics, and continuous improvement techniques to real business challenges, while learning from experienced team members and gaining exposure to strategic priorities across a global organization.

What You'll Achieve

As a Graduate Field Transformation & Automation Analyst, you'll support strategic Field Transformation initiatives by analyzing how work gets done, identifying opportunities for improvement, and exploring how AI, automation, data, and emerging technologies can enable better outcomes.

You'll combine curiosity, analytical thinking, and experimentation to help develop solutions that improve operational performance and organizational effectiveness. You'll work across teams to understand business challenges, test new ideas, develop insights, and help measure the impact of change.

You will:

• Support strategic Field Transformation initiatives through process analysis, continuous improvement, automation, data analytics, and the application of emerging technologies.
• Analyze business processes and ways of working to identify opportunities for simplification, efficiency, scalability, and improved business outcomes.
• Explore and apply AI, agentic automation, workflow automation, and other emerging technologies to improve how work is performed and enable new ways of operating.
• Help identify opportunities where AI agents and automation can augment teams, streamline repetitive activities, improve decision-making, and simplify end-to-end processes.
• Apply continuous improvement approaches and methodologies such as Lean, Six Sigma, Business Process Management (BPM), and process mining, where appropriate.
• Develop data-driven insights, dashboards, and visualizations that help stakeholders understand performance, identify opportunities, support decision-making, and measure the impact of transformation initiatives.
• Partner with stakeholders across Field Services, Partner organizations, Operations, and other cross-functional teams to understand business challenges, define requirements, contribute to business cases, and support implementation.
• Participate in the development and testing of proofs of concept, pilots, and automation solutions, capturing learnings and helping determine opportunities to scale successful approaches.
• Contribute to continuous improvement initiatives that enhance organizational effectiveness and support the broader Field Transformation agenda.
• Stay informed on developments in AI, agentic technologies, automation, analytics, and process transformation, bringing new ideas and perspectives into the organization.

Take the First Step Towards Your Career

Every Dell Technologies team member brings something unique to the table. For this role, we're looking for potential, curiosity, learning agility, analytical thinking, and a passion for using technology to solve business problems.

You don't need to arrive knowing everything. We're looking for someone who is eager to learn, willing to challenge assumptions constructively, comfortable experimenting with new ideas, and excited about helping shape how work gets done in the future.

Essential Requirements

• Recent graduate with a Bachelor's or Master's degree, typically completed within the last 12 months, in Computer Science, Engineering, Data Science, Data Analytics, Operations Management, Business, or a related field.
• Strong analytical and problem-solving skills, with the ability to think critically about existing processes and identify opportunities to improve them.
• Demonstrated interest in AI, automation, digital transformation, data analytics, or process improvement through academic projects, internships, research, hackathons, or other practical experience.
• Familiarity with data analysis and visualization tools such as Power BI, or equivalent technologies.
• Strong written and verbal communication skills, including the ability to translate analytical or technical concepts into clear business recommendations.
• Curiosity, adaptability, and a willingness to learn quickly, experiment, and collaborate in a fast-paced and evolving environment.

Desirable Requirements

• Exposure to generative AI, agentic AI, intelligent automation, workflow automation, or related emerging technologies.
• Exposure to process improvement methodologies such as Lean, Six Sigma, Business Process Management (BPM), or process mining.
• Experience through academic projects, internships, or other activities involving data analytics, automation, process design, AI, or digital transformation.
• Professional certifications or relevant coursework in AI, data analytics, automation, Lean Six Sigma, process improvement, or related disciplines.
• Participation in university incubators, start-ups, open-source projects, innovation programs, hackathons, technology competitions, or similar activities.

Why This Opportunity Stands Out

We're looking beyond traditional experience and focusing on potential, curiosity, innovation, and impact.

You'll have the opportunity to explore how AI, agentic automation, data, and process innovation can solve real business challenges and influence how future processes are designed.

You'll work alongside experienced professionals and leaders while building capabilities across Field Transformation, AI and automation, data analytics, continuous improvement, and business operations.

Most importantly, you'll be encouraged to ask:

Why do we do it this way, and is there a better way?

Then use data, technology, experimentation, and fresh thinking to help answer that question.

Here’s our story; now tell us yours

Dell Technologies helps organizations and individuals build a brighter digital tomorrow. Our company is made up of more than 150,000 people, located in over 180 locations around the world. We’re proud to be a diverse and inclusive team and have an endless passion for our mission to drive human progress.

What’s most important to us is that you are respected, feel like you can be yourself and have the opportunity to do the best work of your life -- while still having a life. We offer excellent benefits, bonus programs, flexible work arrangements, a variety of career development opportunities, employee resource groups, and much more.

We started with computers, but we didn’t stop there. We are helping customers move into the future with multi-cloud, AI and machine learning through the most innovative technology and services portfolio for the data era. Join us and become a part of what’s next in technology, starting today.

You can also learn more about us by reading our latest Diversity and Inclusion Report and our plan to make the world a better place by 2030 here.

Dell is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Dell are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate.