At a Glance
- Tasks: Lead diverse teams and manage exciting data analytics projects.
- Company: Join EY, a global leader in Data & AI with a collaborative spirit.
- Benefits: Enjoy competitive pay, flexible working, and career development opportunities.
- Other info: Dynamic hybrid work environment with excellent growth potential.
- Why this job: Make an impact in the world of data while coaching future leaders.
- Qualifications: Degree and experience in data analytics and project management required.
The predicted salary is between 60000 - 80000 £ per year.
EY is seeking a Data Analytics & AI – Manager to lead diverse teams and manage data analytics projects in Northern Ireland. The role involves project delivery, stakeholder engagement, and coaching junior members.
The ideal candidate will have a degree and significant experience in data analytics, project management, and leading teams. The position offers a competitive remuneration package and supports flexible working arrangements.
Locations
Analytics Delivery Lead, Data & AI – Hybrid in Derry, Londonderry employer: EY
EY is an exceptional employer that fosters a dynamic work culture in Northern Ireland, where innovation and collaboration thrive. With a strong emphasis on employee growth, we offer comprehensive training and mentorship opportunities, ensuring that our team members can advance their careers while enjoying the benefits of flexible working arrangements and a competitive remuneration package.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Delivery Lead, Data & AI – Hybrid in Derry, Londonderry
✨Tip Number 1
Network like a pro! Reach out to your connections in the data analytics field and let them know you're on the hunt for opportunities. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions related to project management and team leadership. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 3
Showcase your skills! Create a portfolio that highlights your past projects and achievements in data analytics. This will give potential employers a clear picture of what you can bring to the table.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Analytics Delivery Lead, Data & AI – Hybrid in Derry, Londonderry
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data analytics and project management. We want to see how your skills align with the role of Analytics Delivery Lead, so don’t be shy about showcasing relevant projects you've led!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analytics and how your leadership experience can benefit our team. We love seeing genuine enthusiasm for the role!
Showcase Your Team Leadership Skills:Since this role involves leading diverse teams, make sure to highlight any coaching or mentoring experiences you’ve had. We’re looking for someone who can inspire and guide junior members, so share those stories!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at EY
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest trends and tools in data analytics and AI. Brush up on your technical skills and be ready to discuss specific projects you've worked on, showcasing your expertise in managing data analytics projects.
✨Showcase Your Leadership Skills
Since the role involves leading diverse teams, prepare examples that highlight your leadership style. Think about times when you successfully coached junior members or managed a project team, and be ready to share these experiences during the interview.
✨Engage with Stakeholders
Stakeholder engagement is key in this role. Be prepared to discuss how you’ve effectively communicated with stakeholders in past projects. Highlight your ability to understand their needs and how you’ve delivered results that align with their expectations.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to data analytics and AI. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values, especially regarding flexible working arrangements.
