Senior Data Analyst

JLL•Boulder, CO

3d•$95,000 - $110,000•Onsite

About The Position

JLL empowers you to shape a brighter way . Our people at JLL and JLL Technologies are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. 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 (one of the largest tech companies in Silicon Valley)’s strategic real estate plans.

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

Nice To Haves

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

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