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- Tasks: Build Looker dashboards and ensure data quality with Snowflake.
- Company: Leading property tech firm with a diverse and flexible work culture.
- Benefits: Flexible working environment and a 12-month fixed-term contract.
- Why this job: Deliver reliable insights and analytics while working with a dynamic team.
- Qualifications: 3+ years in analytics projects and strong SQL skills.
- Other info: Join a diverse team and enhance your career in a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading property technology firm is seeking a Data Analytics Engineer to support their analytics platform development. This role involves building Looker dashboards and ensuring data quality through Snowflake.
Candidates should have at least 3 years of experience in analytics projects and strong SQL skills. This is a 12-month fixed-term contract with a focus on delivering reliable insights and analytics. The company offers a flexible working environment with a diverse team.
Remote Data Analytics Engineer — Looker & Snowflake in Newcastle upon Tyne employer: iamproperty
Contact Detail:
iamproperty Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data Analytics Engineer — Looker & Snowflake in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to folks in the property tech space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Looker dashboards and any analytics projects you've worked on. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for those interviews! Brush up on your SQL skills and be ready to discuss how you've ensured data quality in past projects. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining our diverse team and contributing to our analytics platform.
We think you need these skills to ace Remote Data Analytics Engineer — Looker & Snowflake in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Looker and Snowflake. We want to see how your skills align with the role, so don’t be shy about showcasing your SQL prowess and any relevant analytics projects you've worked on.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how you can contribute to our analytics platform. We love seeing genuine enthusiasm and a clear understanding of what we do.
Showcase Your Projects: If you’ve got examples of dashboards or analytics projects you’ve built, include them! We appreciate candidates who can demonstrate their work, so feel free to link to any portfolios or GitHub repositories that showcase 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’re considered for the role. Plus, it’s super easy and straightforward!
How to prepare for a job interview at iamproperty
✨Know Your Tools Inside Out
Make sure you’re well-versed in Looker and Snowflake. Brush up on how to build dashboards and ensure data quality, as these are key aspects of the role. Being able to discuss your previous projects using these tools will show your expertise.
✨Showcase Your SQL Skills
Prepare to demonstrate your SQL knowledge during the interview. You might be asked to solve a problem or write a query on the spot. Practising common SQL scenarios can help you feel more confident and ready to impress.
✨Understand the Company’s Analytics Needs
Research the property technology firm and understand their analytics platform. Knowing their business model and how they use data can help you tailor your answers and show that you’re genuinely interested in contributing to their success.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about the team dynamics, the projects you’ll be working on, and how they measure success. This not only shows your interest but also helps you gauge if the company is the right fit for you.
