Okay, I've searched for Research & Data Intelligence Analyst roles in San Diego, CA, within the commercial real estate industry, requiring a Bachelor's degree, with salary expectations above $60,000, and focusing on full-time positions. I have found 22 positions for you to explore.

Sure. Here's the analysis:

Job Analysis:

The position of Research & Data Intelligence Analyst at CBRE revolves fundamentally around leveraging data to drive insights in the commercial real estate market. The candidate is expected to navigate a mix of traditional research and innovative data analysis, with responsibilities that include data collection, quality control, and supporting market intelligence initiatives. Success in this role entails not just mastering Excel and data visualization tools like Power BI or Tableau, but also engaging collaboratively with various teams to provide actionable insights that enhance strategic projects. As the real estate market evolves, the candidate will face challenges like ensuring data accuracy and responding to market trends, making strong analytical capabilities and attention to detail paramount. Ultimately, a candidate who can present complex findings in accessible ways, while demonstrating organizational skills and the ability to work under pressure, will excel in this role, helping CBRE remain at the forefront of the commercial real estate industry.

Company Analysis:

CBRE stands as a leader in the realm of commercial real estate, signaling both stability and growth opportunity for new hires. The company emphasizes a collaborative and inclusive work culture that prioritizes diverse perspectives, aligning with current trends toward employee engagement and belonging. Given its role as a premier service provider, this analysis indicates that the position of Research & Data Intelligence Analyst bears significant influence in terms of crafting insights that impact broader business strategies. The team context suggests that while the role is somewhat independent, the new hire will need to operate effectively within a larger, forward-thinking framework, benefiting from significant input across various functions. The company’s dedication to innovation and data-driven decision-making means that this position will likely evolve, demanding adaptability and a proactive approach to market dynamics. Thus, aligning personal career goals with CBRE's mission of empowering businesses and individuals could contribute to a fulfilling long-term career trajectory here.

Absolutely. Here are some mock interview questions that could come up:

• Can you provide an example of a data-driven project you managed from inception to completion? What challenges did you face and how did you overcome them?
• Tell me about a time when you had to ensure data accuracy and integrity in a project. What steps did you take?
• Describe a situation where you collaborated with a team on a complex analysis or project. What was your role and how did you contribute?
• This role requires analytical skills including calculating percentages and performing financial analysis. Can you walk me through your thought process and methodology when analyzing data?
• How would you approach creating a new dataset for tenancy information in office buildings? What specific steps would you take?
• Please explain how you would leverage Microsoft Excel to analyze real estate data. What functions or features do you find most useful?
• Imagine you are tasked with researching the latest commercial real estate trends in the San Diego area. What sources or methods would you utilize, and how would you present your findings?
• If you discovered a discrepancy in reported market data, what steps would you take to address the issue?
• Why are you interested in the position of Research & Data Intelligence Analyst at CBRE specifically?
• How do you believe your values align with CBRE's mission and cultural ethos as described?
• What aspect of the real estate industry are you most passionate about, and how would this passion contribute to your work at CBRE?
• What question do you have about our data analysis tools and how they support market research initiatives at CBRE?
• How do you envision your growth within a role that blends traditional market research with innovative data intelligence?