Location
London Corporate Office, 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 required. This role supports the delivery of asset business plan targets and operational excellence by generating and analysing reports on property management performance. The analyst will gather and interpret 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 the use of AI tools to enhance reporting speed, accuracy, and scalability. The role involves close collaboration with UK Operational and Asset Management teams and guidance from Senior Management.

Key Responsibilities
- Develop consistent, accurate KPIs and reports using AI-assisted tools to accelerate build, testing, and quality assurance.
- Support UK Operational Management with financial and data analysis.
- Manage reporting requirements for internal routines and external stakeholders, including leasing and occupancy performance analysis.
- Assist property and regional managers, Operations Directors, Asset Management, Client Services, and other leaders by providing data, reports, and resolving operational performance issues.
- Act as regional Subject Matter Expert for AI, driving adoption of AI tools such as Claude, building AI-powered solutions, and supporting colleagues in effective AI use.
- Collaborate with Digital/Performance, Asset Marketing, and Brand/Insights teams to track KPIs and connect insights with operational execution.
- Analyse financial, market, and portfolio data to assess performance against budgets and targets, preparing reports and recommendations.
- Participate in projects to improve processes and implement new applications.
- Build strong working relationships with IT/Systems teams to ensure smooth data provision and support system optimisation.
- Support annual rent and budget-setting, acquisition due diligence, service-cost reporting, and other operational tasks as needed.

Experience
- Proven track record in a data/analytics team environment.
- Experience with data lakes, data warehouses, and handling large data sets.
- Familiarity with real estate or related industries is preferable but not essential.
- Skilled in gathering requirements and translating business needs into technical specifications.
- Experience in testing and data quality assurance.
- Strong analytical and problem-solving skills with attention to detail.
- Experience managing contracts, services, and external providers.
- Expertise in optimising data and processes in multi-language and multi-currency environments.
- Excellent organisational skills with the ability to prioritise and work under pressure.
- Strong communication skills to explain technical concepts to non-technical audiences.
- Positive team player with adaptability and collaborative approach.
- Demonstrated commercial awareness and stakeholder engagement.

About You
- Effective communicator, both written and verbal.
- Comfortable working with AI tools such as ChatGPT or Claude, including prompt engineering to generate reliable code.
- Flexible and adaptable to changing priorities.
- Able to work collaboratively to drive results and support business objectives.
- Excellent interpersonal skills with the ability to influence and work with impact.

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.