Location
London

Hours
Full Time

Salary
Negotiable

About the Role
Greystar is a leading, fully integrated global real estate platform specialising in property management, investment management, development, and construction services for institutional-quality rental housing. The Senior Data & AI Analyst will join the Data & Analytics Team, initially focusing on the UK market with the expectation to support other countries as needed. This role supports the delivery of asset business plan targets and operational excellence by generating and analysing reports on property management performance. You will gather and analyse market, client, and portfolio data to provide management with insights to improve net operating income, commercial performance, and customer satisfaction. A key responsibility is championing AI tools to enhance reporting and analysis efficiency, accuracy, and scalability.

The role involves close collaboration with UK Operational and Asset Management teams and direction from Senior Management. You will develop consistent KPIs and reports using AI-assisted tools, support financial and data analysis activities, and manage leasing reporting processes to track occupancy and rental trends. Acting as the regional AI Subject Matter Expert, you will drive AI adoption, build AI-powered solutions, and support colleagues in using AI safely and effectively. Additionally, you will work with cross-functional teams to connect insights with operational execution, participate in process improvement projects, and support systems optimisation.

Other responsibilities include supporting rent and budget-setting processes, acquisition due diligence, service-cost reporting, and service-charge administration. You will also build strong relationships with IT/Systems teams to ensure smooth data provision and contribute to continuous improvement of data systems and tools.

Experience
- Proven track record within a data/analytics team
- Experience with data lakes and data warehouses
- Experience working with large data sets and segmenting data
- Experience gathering requirements and translating business needs into technical specifications
- Experience in testing and data quality practices
- Strong analytical and problem-solving skills with attention to detail
- Experience managing contracts, services, and external resources
- Experience optimising data and processes in multi-language and multi-currency environments
- Experience in real estate or related industries is preferable but not essential

About You
- Effective communicator, able to explain complex data and analytics to non-technical audiences
- Positive team player with adaptable and flexible approach
- Excellent organisational skills with ability to prioritise and exercise good judgement under pressure
- Strong interpersonal skills with ability to influence and work collaboratively
- Commercially aware with understanding of business change cycles and stakeholder engagement
- Willingness to be flexible and adapt to changing priorities

Qualifications
- Working knowledge of Power BI Desktop, Power BI Service, Workspaces, Power Query, DAX, and data modelling
- Proficient in SQL and Python; experience with Databricks is a plus
- Skilled in using AI tools such as ChatGPT or Claude for analytics, including effective prompting to generate reliable code
- Ability to prepare and explain data and analytics clearly in writing and verbally