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- Tasks: Analyse large datasets and create interactive Power BI dashboards.
- Company: Join a leading multinational property services firm in London.
- Benefits: Dynamic work environment with opportunities for professional growth.
- Why this job: Make an impact in the residential sector while developing your data skills.
- Qualifications: 2-3 years of experience with strong SQL and Python skills.
- Other info: Engage with clients and present your findings in a collaborative team.
The predicted salary is between 36000 - 60000 £ per year.
A multinational property services firm is seeking a skilled Data Analyst to join their UK residential valuation team in London. The ideal candidate will have 2-3 years of experience, strong SQL and Python skills, and an interest in the residential sector.
Responsibilities include:
- Analyzing large datasets
- Building interactive Power BI dashboards
- Engaging with clients to present findings
This position offers a dynamic work environment with ample opportunities for professional growth.
Residential Data Analyst - SQL, Power BI & Automation employer: JLL
Contact Detail:
JLL Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Residential Data Analyst - SQL, Power BI & Automation
✨Tip Number 1
Network like a pro! Reach out to professionals in the property services sector on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL queries, Power BI dashboards, and any automation projects you've worked on. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common data analyst questions. Be ready to discuss your experience with large datasets and how you've used Python in past projects.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests, so take advantage of it and get your application in!
We think you need these skills to ace Residential Data Analyst - SQL, Power BI & Automation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL and Python skills, as well as any relevant experience in the residential sector. We want to see how your background aligns with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analysis and how you can contribute to our team. We love seeing enthusiasm for the residential sector, so let that passion come through.
Showcase Your Projects: If you've worked on any projects involving Power BI or automation, make sure to mention them! We’re interested in seeing how you’ve used these tools to solve real-world problems, so include links or descriptions of your work.
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 shows you’re keen on joining our team!
How to prepare for a job interview at JLL
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with querying databases and manipulating data. You might even be asked to solve a problem on the spot, so practice common SQL queries and functions.
✨Show Off Your Power BI Skills
Since this role involves building interactive dashboards, it’s crucial to demonstrate your proficiency in Power BI. Bring examples of dashboards you've created or be ready to talk through your process for visualising data effectively. This will show your potential employer that you can hit the ground running.
✨Engage with Real-World Scenarios
Prepare to discuss how you've used data analysis in real-world situations, especially in the residential sector. Think of specific projects where your insights made a difference. This will help you connect your experience to the company's needs and show your genuine interest in the industry.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the types of datasets you'll be working with, or how success is measured in this role. This shows your enthusiasm and helps you gauge if the company is the right fit for you.
