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Data Analyst – Strategic Portfolio Planning
| Company | Jones Lang LaSalle (JLL) |
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| Location | Boulder, CO, USA |
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| Salary | $100000 – $125000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Mid Level |
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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
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
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
