Senior Data Analyst

JLL empowers you to shape a brighter way.

Our people at JLL 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.

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 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. 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 decisions
• Generate queries, dashboards, and reports using complex datasets from a wide range of sources
• Collaborate cross-functionally on advanced analytics projects 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
• Mentor and support junior analysts by providing guidance and promoting a culture of continuous learning and development
• 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 professional experience in data analysis and data visualization
• Proficient in SQL (any dialect), R and Python
• Expertise with spreadsheet-based tools like Google Sheets or Excel
• Solution-oriented mindset with the ability to meet deadlines in a fast paced and high pressure environment
• Strong communication skills and can communicate business concepts and data findings to both technical and non-technical audiences effectively
• Excellent attention to detail, exhibiting the highest standards of professional integrity and work ethic
• Cultural sensitivity and flexibility in working hours to collaborate with a global team
• Experience and comfort working remotely, with the ability to thrive under minimal supervision

Preferred Qualifications:

• Experience in consulting project management
• 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
• Experience building and deploying Machine Learning models

This position does not provide be authorized to work in the United States without sponsorship.

Estimated compensation for this position:

100,000.00 - 125,000.00 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 Time Off and Company Holidays
• Early access to earned wages through Daily Pay

At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.

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For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here.

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 This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.

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Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate.

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Accepting applications on an ongoing basis until candidate identified.