Senior Data Analyst

About the role: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 optimizing JLL Client strategic real estate plans.  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 visualization   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