Senior Data Analyst

Overview

Senior Data Analyst delivering insights for strategic real estate portfolio decisions.

Key Responsibilities

• knowledge transfer
• advanced analytics
• data queries
• dashboard reporting
• data quality
• project ownership

Tasks

-Implement best practices for knowledge transfer and documentation to achieve internal consistency and long-term scalability -Collaborate cross-functionally on advanced analytics projects (predictive / prescriptive) that solve various business problems at scale -Generate queries, dashboards, and reports using complex datasets from a wide range of sources -Develop and deliver actionable insights and recommendations with the appropriate analytics methodologies and techniques to help Client make informed portfolio decisions -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 -Take ownership of projects end-to-end, from initial requirements and data gathering to user testing and deployment

Requirements

• sql
• python
• google cloud
• ml models
• bachelor’s
• data analysis

What You Bring

-Experience working with large codebases -Corporate Real Estate knowledge -Proficient in SQL (any dialect), R and Python -Strong analytical skills and an abundance of intellectual curiosity -Strong communication skills and can clearly communicate business concepts and data findings to all levels of the organization -Expertise with spreadsheet-based tools like Google Sheets or Excel -Track record of making business impact by mining and extracting value from large and disconnected datasets -Solution-oriented mindset with the ability to thrive in a fast-paced environment and deliver under pressure -Familiarity with Google Cloud Platform (e.g., BigQuery, Cloud Storage, App Engine) -Excellent attention to detail, exhibiting the highest standards of professional integrity and work ethic -Experience building and deploying ML models -Bachelor’s Degree in Math, Statistics, Economics, Computer Science, Engineering, or other quantitative field -3+ years of experience in data analysis and data visualization

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About Jll

-Founded over 200 years ago, JLL has become a global leader in real estate services and investment management. -With a presence in over 80 countries, JLL offers a wide range of services, including property management, advisory, and capital markets. -JLL manages iconic properties like the Shard in London and works with Fortune 500 companies to optimize real estate portfolios. -The company is known for its innovative solutions in real estate technology and sustainability. -Typical projects include large-scale urban developments, corporate relocations, and infrastructure advisory. -JLL has pioneered the integration of data-driven insights into real estate decision-making. -The company’s expertise spans across diverse sectors, such as residential, commercial, industrial, and infrastructure. -Notable for its long-standing history, JLL continues to shape the global real estate landscape.

Sector Specialisms