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- Tasks: Manage data pipelines and develop data models for impactful decision-making.
- Company: Tech company in Edinburgh with a focus on innovation.
- Benefits: Flexible hours, private healthcare, and generous holiday allowance.
- Why this job: Join a dynamic team and enhance data utilisation for real-world impact.
- Qualifications: Experience in data analysis and strong collaboration skills.
- Other info: Exciting opportunities for career growth in a supportive environment.
The predicted salary is between 37000 - 65000 £ per year.
A technology company based in Edinburgh is seeking a Data Engineer to manage data pipelines and support decision-making through rigorous data analysis. The role includes developing data models and collaborating with stakeholders to improve their data utilization.
This position offers a competitive salary range of £37,000 - £65,000 per year and benefits such as flexible working hours, private healthcare, and a significant holiday allowance.
Analytics Engineer: Build Data Platform & BI Insights employer: FreeAgent
Contact Detail:
FreeAgent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer: Build Data Platform & BI Insights
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and analysis projects. We want to see what you can do, so make sure to highlight your best work when chatting with potential employers.
✨Tip Number 3
Prepare for those interviews! Research common questions for analytics roles and practice your answers. We suggest doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the easiest way to get your application noticed. We’re always on the lookout for talented individuals, so don’t hesitate to put yourself out there!
We think you need these skills to ace Analytics Engineer: Build Data Platform & BI Insights
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that match the job description. We want to see how your background aligns with our needs, so don’t be shy about showcasing your data engineering expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the role and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of what we do.
Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! We’re interested in seeing how you’ve tackled challenges and what tools you’ve used. This gives us insight into your hands-on experience.
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 FreeAgent
✨Know Your Data Models
Make sure you brush up on your knowledge of data models and analytics tools. Be ready to discuss how you've developed or improved data models in the past, as this will show your technical expertise and problem-solving skills.
✨Understand the Business Impact
Research the company and its industry to understand how data analysis drives decision-making. Be prepared to share examples of how your work has positively impacted business outcomes in previous roles.
✨Collaborate Like a Pro
Since the role involves working with stakeholders, think of examples where you've successfully collaborated with others. Highlight your communication skills and how you’ve helped teams improve their data utilisation.
✨Prepare Questions
Have a few thoughtful questions ready for your interviewers. This shows your interest in the role and helps you gauge if the company culture and values align with yours. Ask about their current data challenges or future projects!
