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- Tasks: Drive data-driven decisions and ensure high-quality data products.
- Company: Leading identity-security solutions company in the UK.
- Benefits: Remote/hybrid work, competitive salary, and opportunities for professional growth.
- Why this job: Make an impact by empowering users with analytics tools and insights.
- Qualifications: Extensive analytics experience, advanced SQL skills, and strong data visualisation abilities.
- Other info: Collaborative environment with diverse stakeholders and excellent career advancement potential.
The predicted salary is between 28800 - 48000 £ per year.
A leading identity-security solutions company in the UK seeks a skilled data analyst to drive data-driven decision making through a self-service analytics platform. The role involves ensuring high-quality data products, collaborating with diverse stakeholders, and educating users on analytics tools.
Ideal candidates will have:
- Extensive analytics experience
- Advanced SQL skills
- Strong data visualization abilities
This is a hybrid position based in London.
Analytics Engineer — Junior, Remote/Hybrid, ELT & BI employer: Entrust Datacard
Contact Detail:
Entrust Datacard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer — Junior, Remote/Hybrid, ELT & BI
✨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.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytics projects, SQL queries, and data visualisations. This will give you an edge and demonstrate your capabilities to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common analytics questions and scenarios. Practice explaining your thought process and how you approach problem-solving with data—this is key for roles like the one we’re discussing!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Analytics Engineer — Junior, Remote/Hybrid, ELT & BI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your analytics experience and SQL skills. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or tools you've used!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can contribute to our self-service analytics platform. Let us know what makes you tick in the world of data!
Showcase Your Data Visualisation Skills: Since strong data visualisation abilities are key for this role, consider including examples of your work. Whether it's a portfolio or links to dashboards, we love seeing how you present data in a clear and engaging way.
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 from our team!
How to prepare for a job interview at Entrust Datacard
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with SQL queries and how you've used them in past projects. Practising common SQL problems can help you feel more confident when discussing technical aspects.
✨Showcase Your Data Visualisation Skills
Have a few examples ready that demonstrate your data visualisation abilities. Whether it's through dashboards or reports, be ready to explain how your visualisations have helped stakeholders make informed decisions. This will show your practical experience and understanding of the role.
✨Understand the Company’s Analytics Tools
Research the analytics tools the company uses and be prepared to discuss how you’ve worked with similar tools in the past. If you can, try to get familiar with their self-service analytics platform so you can speak knowledgeably about it during the interview.
✨Prepare for Stakeholder Collaboration Questions
Since the role involves collaborating with diverse stakeholders, think of examples where you've successfully worked with different teams. Be ready to discuss how you communicated complex data insights to non-technical users, as this will highlight your ability to educate and engage others.
