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About the Role

The Senior Data & AI Analyst supports the Data & Analytics Team, focusing initially on the UK market, with potential to support other countries. This role is crucial for delivering asset business plan targets and achieving operational excellence by analyzing property management performance data. It will champion AI tools to enhance reporting and analysis efficiency, accuracy, and scalability, working closely with UK Operational and Asset Management teams.

Responsibilities

Develop consistent, accurate KPIs and reports for stakeholders using AI-assisted tools.
Support the UK Operational Management Team with financial and data analysis.
Fulfill the Data & Analytics team’s reporting requirements for internal and external needs.
Run the leasing reporting process to track and analyze leasing and occupancy performance.
Support property and regional managers, Operations Directors, Asset Management, Client Services, and other business leaders by addressing questions and resolving performance-related issues.
Act as the regional Subject Matter Expert (SME) for AI, driving adoption of AI tools like Claude.
Identify practical AI use cases and build simple AI-powered solutions.
Support non-technical colleagues in using AI confidently, safely, and effectively.
Collaborate with Digital/Performance, Asset Marketing, and Brand/Insights teams to track KPIs and provide consistent reporting.
Gather and analyze financial, market, and other data to assess portfolio performance against targets.
Participate in project teams to implement process improvements and new applications.
Build effective working relationships between the Data & Analytics team and the IT/Systems team.
Support requirements gathering, testing, and optimization for systems projects.
Support annual rent and budget-setting processes, new acquisition due diligence, and other reports.
Identify improvements to systems and tools used for performance monitoring.
Contribute to new acquisitions (due diligence and underwriting data) and support their execution.
Support periodic service-cost reporting and annual price versus allowance analysis.
Support FF&E and other service-charge-related administration.

Requirements

Working knowledge of Power BI Desktop, Power BI Service and Workspaces, Power Query, DAX, data modelling, and related technologies.
Proficiency in SQL and Python.
Experience of Databricks is a plus.
Effective use of AI tools such as ChatGPT or Claude in analytics work, including effective prompting for reliable code generation.
Ability to communicate effectively, both in writing and verbally, to prepare and explain data and analytics.
Proven track record of working within a data/analytics team.
Experience working with data lakes and data warehouses.
Experience gathering requirements and translating business needs into technical specifications.
Experience in testing and data quality practices.
Strong analytical skills, with the ability to collect, organise, analyse and share large amounts of information accurately and with attention to detail.
Adept at problem-solving, taking a broad perspective to identify or help define solutions.
Significant experience in managing contracts, services and external resource providers.
Strong communication skills, with the ability to engage and explain highly technical ideas to a non-technical audience.
Expertise in optimising data and processes in a multi-language and multi-currency environment.
A positive team player with an adaptable, flexible approach and the ability to work collaboratively.
Excellent organisation skills, including the ability to prioritise workload and show good judgement under pressure.
Excellent interpersonal skills and the ability to work with impact and influence.
A willingness to be flexible and adaptable to changing priorities.
Demonstrated commercial awareness, with an understanding of the cycle of business change and the importance of engaging stakeholders.

Skills

Power BI
Power BI Desktop
Power BI Service
Power BI Workspaces
Power Query
DAX
Data Modelling
SQL
Python
Databricks
AI tools
ChatGPT
Claude
Prompt Engineering
Data Analysis
Reporting
Data Warehousing
Data Lakes
Requirement Gathering
Technical Specifications
Testing
Data Quality
Problem-Solving
Contract Management
Service Management
External Resource Management
Communication
Stakeholder Engagement
Process Optimization
Multi-language environments
Multi-currency environments
Teamwork
Adaptability
Flexibility
Collaboration
Organization
Prioritization
Judgement
Interpersonal Skills
Influence
Commercial Awareness

Location

Work Type

Full-time

Experience Level

Senior
Significant experience

About the Company

Greystar is a leading, fully integrated global real estate platform offering expertise in property management, investment management, development, and construction services in institutional-quality rental housing.
Headquartered in Charleston, South Carolina, Greystar manages and operates over $350 billion of real estate in more than 260 markets globally with offices throughout North America, Europe, South America, and the Asia-Pacific region.
Greystar is the largest operator of apartments in the United States, managing over one million units/beds globally.
Across its platforms, Greystar has nearly $79 billion of assets under management, including over $34 billion of development assets and over $36.5 billion of regulatory assets under management.
Greystar was founded by Bob Faith in 1993 to become a provider of world-class service in the rental residential real estate business.

Equal Opportunity

Greystar will never request your banking details or other sensitive personal information during the interview process.
Greystar does not conduct any interviews via text or messaging, and all communication will come from official Greystar email addresses (@greystar.com).
If you receive suspicious requests, please report them immediately to AskHR@greystar.com.