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- Tasks: Analyse data and create insightful Power BI dashboards for residential valuations.
- Company: Leading real estate firm in Greater London with a dynamic team.
- Benefits: Career growth opportunities and engaging projects in the residential sector.
- Why this job: Join a vibrant team and make an impact in the real estate industry.
- Qualifications: 2-3 years of experience in SQL, Python, and Power BI.
- Other info: Exciting projects await you in a fast-paced environment.
The predicted salary is between 28800 - 48000 £ per year.
A leading real estate firm located in Greater London is seeking a Data Analyst for Residential Valuations. This role focuses on maintaining large datasets and developing Power BI dashboards.
Suitable candidates will have:
- 2-3 years' experience
- Proficiency in SQL, Python, and Power BI
- Strong analytical skills
Join a dynamic team to work on engaging projects within the residential sector. Opportunities for career growth are available.
Data Analyst — Residential Valuations & Insights in London employer: JLL
Contact Detail:
JLL Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst — Residential Valuations & Insights in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the firm on LinkedIn. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Power BI dashboards and any SQL or Python projects you've worked on. This will help you stand out during interviews.
✨Tip Number 3
Prepare for the interview by brushing up on common data analysis scenarios. Think about how you would approach real-world problems in residential valuations and be ready to discuss them.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed and shows you’re serious about joining the team.
We think you need these skills to ace Data Analyst — Residential Valuations & Insights in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and Power BI. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or 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 in the residential sector and how you can contribute to our dynamic team. Keep it engaging and personal!
Showcase Your Analytical Skills: In your application, give examples of how you've tackled complex datasets or created insightful dashboards. We love seeing real-world applications of your analytical prowess, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at JLL
✨Know Your Data Tools
Make sure you brush up on your SQL, Python, and Power BI skills before the interview. Be ready to discuss specific projects where you've used these tools, as this will show your practical experience and problem-solving abilities.
✨Showcase Your Analytical Skills
Prepare examples of how you've analysed data in the past. Think about challenges you faced and how you overcame them. This will demonstrate your analytical mindset and ability to derive insights from large datasets.
✨Understand the Residential Sector
Familiarise yourself with current trends in the residential real estate market. Being able to discuss these trends during your interview will show your genuine interest in the sector and how you can contribute to the team.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the company. This not only shows your enthusiasm but also helps you gauge if the company culture and projects align with your career goals.
