Data Analyst: Residential Valuations (SQL & Power BI) in London
Data Analyst: Residential Valuations (SQL & Power BI)

Data Analyst: Residential Valuations (SQL & Power BI) in London

London Full-Time 36000 - 60000 Β£ / year (est.) No home office possible
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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 Β£ 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) in London employer: Jones Lang LaSalle Incorporated

As a leading global real estate firm, we pride ourselves on fostering a dynamic work culture that encourages collaboration and innovation. Our London office offers exceptional employee growth opportunities through continuous training and mentorship, alongside competitive benefits that support work-life balance. Join us to be part of a team where your contributions directly impact project success and where your career can flourish in a vibrant city.
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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) in London

✨Tip Number 1

Network like a pro! Reach out to professionals in the real estate and data analysis sectors 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 Power BI dashboards and SQL projects. 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. Be ready to discuss how you've used SQL, Python, and Excel in past roles, and think about how you can apply those skills to residential valuations.

✨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 are proactive about their job search!

We think you need these skills to ace Data Analyst: Residential Valuations (SQL & Power BI) in London

SQL
Power BI
Python
Excel
Data Management
Dashboard Development
Automation Scripting
Collaboration Skills
Project Contribution
Analytical Skills

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 specific projects where you’ve used SQL, Python, or Excel. We love seeing real-world applications of your expertise!

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 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 building them. If possible, prepare a mini demo to illustrate your capabilities.

✨Demonstrate Your Problem-Solving Skills

Data analysis often involves tackling complex problems. Be ready to discuss specific challenges you've faced in your previous roles and how you approached solving them. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.

✨Prepare Questions About the Team and Projects

Interviews are a two-way street, so come prepared with insightful questions about the residential valuations team and the projects they’re working on. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.

Data Analyst: Residential Valuations (SQL & Power BI) in London
Jones Lang LaSalle Incorporated
Location: London

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