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- Tasks: Analyse data and create insightful reports for the residential valuations team.
- Company: Leading global real estate firm with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in the property sector.
- Qualifications: 2-3 years of experience in data analysis and strong technical skills.
- Other info: Exciting environment with diverse clients and career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
A leading global real estate firm is seeking a skilled Data Analyst to join their residential valuations team in London. This role involves maintaining large datasets, developing SQL data models, and building Power BI dashboards.
Candidates should have 2-3 years of experience, strong technical skills, and an interest in the property sector. The ideal candidate will excel in data analysis, reporting, and client interaction, contributing to impactful insights and solutions for diverse clients.
Data Analyst: Residential Valuations & Insights in London employer: Jones Lang LaSalle Incorporated
Contact Detail:
Jones Lang LaSalle Incorporated 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 people in the property sector, especially those working in data analysis. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL models and Power BI dashboards. 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 data analysis scenarios. Think about how you can apply your skills to real-world problems in the residential valuations space. We want to see your thought process!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
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 large datasets and SQL data models. We want to see how your skills align with the role, so don’t be shy about showcasing your technical prowess!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about the property sector and how your background in data analysis can contribute to our team. Keep it engaging and relevant!
Showcase Your Projects: If you've worked on any projects involving Power BI dashboards or data reporting, make sure to mention them. We love seeing real examples of your work that demonstrate your analytical skills and creativity.
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!
How to prepare for a job interview at Jones Lang LaSalle Incorporated
✨Know Your Data Inside Out
Before the interview, make sure you’re familiar with the types of datasets you might be working with. Brush up on your SQL skills and be ready to discuss how you've used data analysis in previous roles, especially in relation to residential valuations.
✨Showcase Your Technical Skills
Prepare to demonstrate your technical abilities, particularly in SQL and Power BI. You might be asked to solve a problem or create a simple dashboard during the interview, so practice these skills beforehand to show you can hit the ground running.
✨Understand the Property Sector
Research the current trends in the property market and be prepared to discuss how data analysis can impact decision-making in this sector. Showing genuine interest in real estate will set you apart from other candidates.
✨Engage with Client Interaction Scenarios
Think about past experiences where you’ve interacted with clients or stakeholders. Be ready to share examples of how you’ve communicated complex data insights in an understandable way, as this role involves client interaction and delivering impactful solutions.
