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.

JLL Technologies is a tech-focused division of Jones Lang LaSalle, a world leader in real estate services and a Fortune 500 company.

As a Senior Data Analyst at JLL, you will play a direct role in shaping how one of Silicon Valley's largest technology companies makes strategic decisions about its global real estate portfolio.

At JLL, a Fortune 500 real estate services leader, we build dedicated analytics teams that work alongside our clients as trusted partners. As part of our Portfolio Insights team, you will be the primary data expert for client planners — owning the quality of production datasets, translating complex data findings into executive-ready insights, and building the reliable data foundations that drive strategic real estate decisions.

This is a client-facing role with significant impact you will work directly with planners, resolve real data challenges, and be the person the client turns to when quality and clarity matter most.

If this opportunity resonates with you, we encourage you to apply. At JLL, we know that great talent comes from many paths and we are always interested in people who are eager to grow and make an impact.

Responsibilities:

• Serve as primary technical expert for client planners, building strong relationships to anticipate needs and provide strategic guidance for data solutions

• Take full ownership of client presentations and reports, creating impactful visualizations with professional polish and meticulous attention to detail

• Own data validation and quality assurance processes for key production datasets, proactively identifying root causes and implementing long-term solutions