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- Tasks: Analyse data and create interactive dashboards to support residential valuations.
- Company: Leading real estate firm with a focus on innovation and teamwork.
- Benefits: Full-time role with competitive salary and opportunities for growth.
- Why this job: Make a real impact in the residential sector while developing your analytical skills.
- Qualifications: 2-3 years of experience, strong SQL and Power BI skills required.
- Other info: Join a dynamic team and contribute to exciting projects in a vibrant environment.
The predicted salary is between 28800 - 48000 £ per year.
A leading real estate firm is seeking a skilled Data Analyst to join its residential valuation team in London. The ideal candidate will have 2-3 years of corporate experience, strong SQL and Power BI skills, and an interest in the residential sector.
Responsibilities include:
- Maintaining large datasets
- Building interactive dashboards
- Collaborating with stakeholders
This full-time role offers the opportunity to contribute to valuing residential properties in a dynamic environment.
Data Analyst, Residential Valuations (London On-Site) 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 (London On-Site)
✨Tip Number 1
Network like a pro! Reach out to professionals in the real estate and data analysis fields 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 SQL queries 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 would approach maintaining large datasets or collaborating with stakeholders, and be ready to share your thought process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Data Analyst, Residential Valuations (London On-Site)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL and Power BI, as these are key skills we're looking for. Don’t just list your duties; show us how you’ve used these tools to make an impact in your previous roles.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about the residential sector and how your background makes you a great fit for our team. Keep it engaging and personal!
Showcase Your Data Skills: Since you'll be maintaining large datasets and building dashboards, consider including examples of your work. If you have any projects or case studies that demonstrate your analytical skills, we’d love to see them!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and helps us get to know you better!
How to prepare for a job interview at Jones Lang LaSalle Incorporated
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss how you've used SQL in past projects, and maybe even tackle a few practical questions or exercises. This will show that you're not just familiar with the language but can also apply it effectively.
✨Showcase Your Power BI Expertise
Since the role requires strong Power BI skills, come ready to discuss specific dashboards you've created. If possible, bring examples of your work or be prepared to explain your thought process behind designing interactive visualisations. This will demonstrate your hands-on experience and creativity.
✨Understand the Residential Sector
Do some homework on the residential property market in London. Familiarise yourself with current trends, challenges, and opportunities. Being able to speak knowledgeably about the sector will impress your interviewers and show your genuine interest in the role.
✨Prepare for Stakeholder Collaboration Questions
Since collaboration is key in this role, think of examples where you've worked with different stakeholders. Be ready to discuss how you communicated complex data insights to non-technical team members. This will highlight your ability to bridge the gap between data analysis and business needs.
