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- Tasks: Design and maintain data infrastructure while creating analytics solutions using Power BI.
- Company: Leading medical device company in Scotland with a supportive work environment.
- Benefits: Full-time employment with opportunities for growth and development.
- Why this job: Join a dynamic team and make an impact in the healthcare industry through data.
- Qualifications: Strong analytical skills and proficiency in data engineering tools required.
- Other info: Collaborate with teams to implement data governance practices.
The predicted salary is between 28800 - 48000 £ per year.
A leading medical device company in Scotland is seeking an entry-level Analytics Engineer to design and maintain data infrastructure. The role involves creating analytics solutions using Power BI, optimizing data pipelines, and collaborating with teams to implement data governance practices.
Ideal candidates should possess strong analytical skills and proficiency in data engineering tools. Full-time employment with a supportive work environment is offered.
Analytics Engineer — Scalable Data Pipelines & BI employer: Insulet Corporation
Contact Detail:
Insulet Corporation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer — Scalable Data Pipelines & BI
✨Tip Number 1
Network like a pro! Reach out to professionals in the medical device industry or analytics field on LinkedIn. A friendly message can go a long way, and you never know who might help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Power BI and data pipelines. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common analytics questions and scenarios. Practice explaining your thought process when designing data solutions, as this will demonstrate your analytical skills and problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Analytics Engineer — Scalable Data Pipelines & BI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your analytical skills and any experience with data engineering tools. We want to see how you can contribute to our data infrastructure, so don’t hold back on showcasing relevant projects or coursework!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about the Analytics Engineer role and how your skills align with what we’re looking for. Keep it concise but impactful – we love a good story!
Showcase Your Power BI Skills: Since this role involves creating analytics solutions using Power BI, make sure to mention any experience you have with it. If you've worked on any projects or have examples of dashboards you've created, include those details to impress us!
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 follow the prompts and you’ll be all set!
How to prepare for a job interview at Insulet Corporation
✨Know Your Tools
Familiarise yourself with the data engineering tools mentioned in the job description, especially Power BI. Be ready to discuss your experience with these tools and how you've used them to create analytics solutions in the past.
✨Showcase Your Analytical Skills
Prepare examples that highlight your analytical skills. Think of specific projects where you optimised data pipelines or implemented data governance practices. This will demonstrate your capability to handle the responsibilities of the role.
✨Collaborative Mindset
Since the role involves collaborating with teams, be prepared to discuss how you work with others. Share experiences where teamwork led to successful outcomes, and emphasise your ability to communicate effectively with different stakeholders.
✨Ask Insightful Questions
At the end of the interview, ask questions that show your interest in the company and the role. Inquire about their current data infrastructure challenges or how they envision the Analytics Engineer contributing to their goals. This shows you're engaged and thinking ahead.
