Colorado Staffing
Senior Data Analyst
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's (one of the largest tech companies in Silicon Valley) 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. Estimated Compensation
120,000.00 - 160,000.00 USD per year. This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations. Location
On-site - Boulder, CO. 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! Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include: 401(k) plan with matching company contributions Comprehensive Medical, Dental & Vision Care Paid parental leave at 100% of salary Paid Ti e Off and Company Holidays. Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement. Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at accomodationrequest@am.jll.com. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page.
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's (one of the largest tech companies in Silicon Valley) 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. Estimated Compensation
120,000.00 - 160,000.00 USD per year. This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations. Location
On-site - Boulder, CO. 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! Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include: 401(k) plan with matching company contributions Comprehensive Medical, Dental & Vision Care Paid parental leave at 100% of salary Paid Ti e Off and Company Holidays. Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement. Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at accomodationrequest@am.jll.com. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page.