Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Transform business needs into actionable data and AI use cases while designing analytics-focused models.
- Company: Join Avanade, a leader in Data & AI with a supportive community.
- Benefits: Extensive learning opportunities and professional development in cutting-edge initiatives.
- Why this job: Make an impact by collaborating on innovative data projects in a dynamic environment.
- Qualifications: Solid background in business analysis and data product management required.
The predicted salary is between 40000 - 50000 £ per year.
Avanade in the United Kingdom is seeking a Data Analyst to join its Data & AI team. The ideal candidate will have a solid background in business analysis and data product management, capable of translating business needs into actionable data and AI use cases. This role involves designing analytics-focused data models and collaborating with various stakeholders. Avanade offers extensive learning opportunities and a supportive community aimed at fostering professional development in cutting-edge initiatives.
Data & AI Product Analyst in London employer: Avanade
Contact Detail:
Avanade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI Product Analyst in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Avanade on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data models and analytics projects. This will help us demonstrate our expertise in translating business needs into actionable insights.
✨Tip Number 3
Practice makes perfect! Get ready for those interviews by brushing up on common data analysis questions and case studies. We want to be able to confidently discuss how we can contribute to Avanade's Data & AI team.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our submission to highlight how our skills align with Avanade's mission and values.
We think you need these skills to ace Data & AI Product Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in business analysis and data product management. We want to see how you've translated business needs into actionable insights, so don’t hold back on those examples!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and AI, and how you can contribute to our team. Keep it engaging and relevant to the role.
Showcase Your Skills: When filling out your application, be sure to mention any specific tools or methodologies you’re familiar with. We love seeing candidates who are well-versed in designing analytics-focused data models and collaborating with stakeholders.
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 this exciting opportunity in our Data & AI team!
How to prepare for a job interview at Avanade
✨Know Your Data Inside Out
Make sure you’re well-versed in data analysis concepts and tools relevant to the role. Brush up on your knowledge of data models and AI use cases, as you'll likely be asked to discuss how you can translate business needs into actionable insights.
✨Showcase Your Collaboration Skills
Since this role involves working with various stakeholders, prepare examples that highlight your ability to collaborate effectively. Think about times when you’ve successfully worked with different teams to achieve a common goal, and be ready to share those stories.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems or design analytics-focused data models. Practice articulating your thought process clearly, as this will demonstrate your analytical skills and how you approach real-world challenges.
✨Emphasise Continuous Learning
Avanade values professional development, so be prepared to discuss how you stay updated with industry trends and technologies. Share any recent courses, certifications, or projects that showcase your commitment to learning and growth in the data and AI space.