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Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology to our clients. We are committed to hiring the best, most talented people in our industry; and we support them through professional growth, flexibility, and personalized benefits to manage life in and outside of work.  Whether you’ve got deep experience in commercial real estate, skilled trades, and technology, or you’re looking to apply your relevant experience to a new industry, we empower you to shape a brighter way forward so you can thrive professionally and personally.

Role: 

JLL Technologies is a tech-focused division of Jones Lang LaSalle, a world leader in real estate services and a Fortune 500 company.  

We are seeking a talented professional to join us as a Senior Data Analyst to develop and deliver data insights and solutions through your technical and business expertise. The successful candidate will join the Portfolio Insights team, responsible for managing and optimising JLL Client (one of the largest tech companies in Silicon Valley)’s strategic real estate plans.  

If this job description resonates with you, do not hesitate to apply even if you don’t meet all of the requirements below. We’re interested in getting to know you and what you bring to the table! We know that unique backgrounds, experiences and perspectives help us think bigger, spark innovation and thrive together. 

Responsibilities: 

• Develop and deliver actionable insights and recommendations with the appropriate analytics methodologies and techniques to help Client make informed portfolio decisions 

• Generate queries, dashboards, and reports using complex datasets from a wide range of sources 

• Collaborate cross-functionally on advanced analytics projects (predictive / prescriptive) that solve various business problems at scale 

• Take ownership of projects end-to-end, from initial requirements and data gathering to user testing and deployment 

• Implement best practices for knowledge transfer and documentation to achieve internal consistency and long-term scalability 

• Create action plans to resolve data-related issues and drive quality improvement to our data ecosystem over time, including the data itself, the analytical data warehouse and the tools used to analyze and interpret results and trends 

Minimum Requirements: 

• Strong analytical skills and an abundance of intellectual curiosity 

• Bachelor’s Degree in Math, Statistics, Economics, Computer Science, Engineering, or other quantitative field 

• 3+ years of experience in data analysis and data visualisation   

• Experience building and deploying ML models 

• Proficient in SQL (any dialect), R and Python 

• Experience working with large codebases 

• Expertise with spreadsheet-based tools like Google Sheets or Excel 

• Solution-oriented mindset with the ability to thrive in a fast-paced environment and deliver under pressure  

• Strong communication skills and can clearly communicate business concepts and data findings to all levels of the organization  

• Excellent attention to detail, exhibiting the highest standards of professional integrity and work ethic  

Preferred Qualifications:  

• Corporate Real Estate knowledge 

• Familiarity with Google Cloud Platform (e.g., BigQuery, Cloud Storage, App Engine) 

• Track record of making business impact by mining and extracting value from large and disconnected datasets  

Location:

On-site –London, GBR

If this job description resonates with you, we encourage you to apply, even if you don’t meet all the requirements.  We’re interested in getting to know you and what you bring to the table! If you require any changes to the application process, please email EMEATA@jll.com or call +44 (0)20 7399 5010 to contact one of our team members to discuss how to best support you throughout the process. Please note, the contact details provided are to discuss or request for adjustments to be made to the hiring process.   Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.

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