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- Tasks: Design and maintain data pipelines while providing analytical insights.
- Company: Leading analytics firm in Greater London with a focus on innovation.
- Benefits: Flexible working environment, competitive salary, and professional development opportunities.
- Why this job: Join a dynamic team and make an impact with your data skills.
- Qualifications: Proficiency in Python and experience with cloud platforms.
- Other info: Thriving environment that supports individual and team growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading analytics firm in Greater London is hiring a Data Analytics Engineer to design and maintain data pipelines while providing analytical insights. In this role, you will collaborate with Data Operations and Data Services teams, leveraging your skills in Python and cloud platforms to optimize data processing.
The position offers a flexible working environment, competitive salary, and opportunities for professional development, ensuring that you can thrive both individually and as part of a team.
Data Analytics Engineer: Pipelines, Insights & Dashboards employer: Brown & Brown UK
Contact Detail:
Brown & Brown UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Engineer: Pipelines, Insights & Dashboards
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at analytics firms. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, insights, and dashboards. This is your chance to demonstrate what you can do with Python and cloud platforms—make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common data analytics questions. We recommend practising your problem-solving skills and being ready to discuss your past projects in detail.
✨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 Data Analytics Engineer: Pipelines, Insights & Dashboards
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data pipelines and analytical insights. We want to see how your skills in Python and cloud platforms can shine through!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your personality! Share why you're excited about the role and how you can contribute to our Data Operations and Data Services teams.
Showcase Relevant Projects: If you've worked on any projects that involved data analytics or pipeline design, make sure to mention them. We love seeing real-world applications of your skills!
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 don’t miss out on any important updates!
How to prepare for a job interview at Brown & Brown UK
✨Know Your Data Pipelines
Make sure you understand the fundamentals of data pipelines and how they work. Be ready to discuss your experience with designing and maintaining them, as well as any specific tools or technologies you've used in the past.
✨Showcase Your Analytical Skills
Prepare examples of how you've provided analytical insights in previous roles. Think about specific projects where your insights led to significant improvements or decisions, and be ready to explain your thought process.
✨Familiarise Yourself with Python and Cloud Platforms
Brush up on your Python skills and be prepared to discuss how you've used it in data analytics. Also, get comfortable talking about your experience with cloud platforms, as this will likely come up during the interview.
✨Emphasise Team Collaboration
Since this role involves working closely with Data Operations and Data Services teams, be ready to share examples of how you've successfully collaborated with others in the past. Highlight your communication skills and ability to work as part of a team.
