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- Tasks: Design data integrations and manage data flows using AWS.
- Company: Dynamic technology consultancy based in London.
- Benefits: Opportunities for continuous improvement and Agile work environment.
- Why this job: Join a team where your data skills can shine and make a difference.
- Qualifications: Strong PowerBI and SQL skills, plus a degree-level education.
- Other info: Great chance to grow your career in a supportive setting.
The predicted salary is between 36000 - 60000 £ per year.
A technology consultancy in London is seeking a Dashboards and Data Analyst to support capacity planning and data solutions. The role involves working with teams to design data integrations and manage data flows within AWS.
Candidates should have strong PowerBI and SQL skills, experience in application development, and a degree-level education. This position offers opportunities for continuous improvement and working in an Agile environment.
Data Visualization & Analytics Engineer in London employer: Berkeley Square IT
Contact Detail:
Berkeley Square IT Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Visualization & Analytics Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data visualisation projects. Use platforms like GitHub or even a personal website to demonstrate your PowerBI and SQL prowess. This will make you stand out when we’re looking for candidates.
✨Tip Number 3
Prepare for those interviews! Research common questions for Data Visualization & Analytics Engineer roles and practice your answers. Be ready to discuss your experience with AWS and Agile methodologies, as these are key to impressing us.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team and contributing to our exciting projects.
We think you need these skills to ace Data Visualization & Analytics Engineer in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your PowerBI and SQL skills in your application. We want to see how you can use these tools to create amazing data visualisations and support our capacity planning efforts.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to the role by mentioning your experience with data integrations and managing data flows, especially within AWS. This will show us that you’re genuinely interested in the position.
Share Your Experience: If you've worked in an Agile environment before, let us know! Share specific examples of how you've contributed to continuous improvement in your previous roles. We love to see candidates who are proactive and adaptable.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Berkeley Square IT
✨Know Your Tools Inside Out
Make sure you’re well-versed in PowerBI and SQL. Brush up on your skills and be ready to discuss specific projects where you've used these tools. Being able to demonstrate your expertise will show that you're the right fit for the role.
✨Understand the Agile Methodology
Since the role involves working in an Agile environment, it’s crucial to understand Agile principles. Be prepared to discuss how you've applied Agile practices in previous roles and how they can benefit the team’s workflow.
✨Showcase Your Problem-Solving Skills
Think of examples where you've tackled complex data challenges or improved data flows. Highlight your analytical thinking and how you’ve contributed to capacity planning or data solutions in past experiences.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy and how they envision the role evolving. This shows your genuine interest in the position and helps you assess if the company aligns with your career goals.
