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For Companies At a Glance
- Tasks: Analyse data, create Power BI dashboards, and automate processes for residential valuations.
- Company: Leading global real estate firm with a focus on innovation.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in the real estate sector.
- Qualifications: 2-3 years of experience in data analysis and strong skills in SQL, Python, and Excel.
- Other info: Exciting collaboration with industry experts in a vibrant London office.
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. The role entails maintaining large datasets, developing Power BI dashboards, and creating automation scripts.
Ideal candidates will have 2-3 years of experience in a corporate environment and strong technical skills in SQL, Python, and Excel. This on-site position promises exciting collaboration with experts in the field and offers a chance to contribute significantly to project outcomes.
Data Analyst: Residential Valuations (SQL & Power BI) 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 (SQL & Power BI)
✨Tip Number 1
Network like a pro! Reach out to professionals in the real estate and data analysis fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your passion for data.
✨Tip Number 2
Prepare for those interviews! Brush up on your SQL, Python, and Power BI skills. We recommend doing some mock interviews with friends or using online platforms to get comfortable with common questions related to data analysis.
✨Tip Number 3
Showcase your work! Create a portfolio of your best projects, especially those involving Power BI dashboards or automation scripts. This will give potential employers a tangible sense of your skills and creativity.
✨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 to connect with us directly.
We think you need these skills to ace Data Analyst: Residential Valuations (SQL & Power BI)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Power BI, and any relevant projects. We want to see how your skills match 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 residential valuations team. Keep it engaging and personal.
Showcase Your Technical Skills: Since we’re looking for someone with strong technical skills, make sure to mention your proficiency in SQL, Python, and Excel. If you’ve worked on any cool projects or dashboards, let us know!
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 don’t miss out on any important updates from our team!
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 your experience with large datasets and how you've used SQL to manipulate and analyse data in previous roles. Practising common SQL queries can really help you stand out.
✨Show Off Your Power BI Skills
Since the role involves developing Power BI dashboards, it’s crucial to showcase your expertise. Bring examples of dashboards you've created or be ready to explain your process for visualising data effectively. This will demonstrate your ability to turn data into actionable insights.
✨Demonstrate Your Automation Know-How
The job mentions creating automation scripts, so be prepared to discuss any experience you have with Python or other scripting languages. Share specific examples of how you've automated processes in the past and the impact it had on efficiency.
✨Prepare for Team Collaboration Questions
As this position promises exciting collaboration, think about your past experiences working in teams. Be ready to share examples of how you’ve contributed to team projects and how you handle feedback and communication with colleagues. This will show that you’re a great fit for their collaborative environment.
