(Senior) Data Analyst – Strategic Portfolio Planning

Jones Lang LaSalle

  • London
  • Permanent
  • Full-time
  • 13 days ago
JLL supports the Whole You, personally and professionally.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 decisionsGenerate queries, dashboards, and reports using complex datasets from a wide range of sourcesCollaborate cross-functionally on advanced analytics projects (predictive / prescriptive) that solve various business problems at scaleTake ownership of projects end-to-end, from initial requirements and data gathering to user testing and deploymentImplement best practices for knowledge transfer and documentation to achieve internal consistency and long-term scalabilityCreate 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 trendsMinimum Requirements:Strong analytical skills and an abundance of intellectual curiosityBachelor’s Degree in Math, Statistics, Economics, Computer Science, Engineering, or other quantitative field3+ years of experience in data analysis and data visualisationExperience building and deploying ML modelsProficient in SQL (any dialect), R and PythonExperience working with large codebasesExpertise with spreadsheet-based tools like Google Sheets or ExcelSolution-oriented mindset with the ability to thrive in a fast-paced environment and deliver under pressureStrong communication skills and can clearly communicate business concepts and data findings to all levels of the organizationExcellent attention to detail, exhibiting the highest standards of professional integrity and work ethicPreferred Qualifications:Corporate Real Estate knowledgeFamiliarity 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 datasetsLocation:On-site –London, GBRIf 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 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 page
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Jones Lang LaSalle