At a Glance
- Tasks: Analyse data and leverage AI tools to enhance property management performance.
- Company: Join Greystar, a global leader in real estate with a collaborative culture.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement opportunities.
- Why this job: Make a real impact in the real estate sector using cutting-edge data analytics.
- Qualifications: Experience in data analysis, SQL, Python, and familiarity with AI tools.
The predicted salary is between 55000 - 65000 £ per year.
ABOUT GREYSTAR 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.
To learn more, visit www. greystar. com.
JOB DESCRIPTION SUMMARY
The Senior Data & AI Analyst works in the Data & Analytics Team, focusing primarily on UK initially, but with the expectation to support other countries when required.
The role supports the delivery of asset business plan targets and the execution of strategies for achieving operational excellence by generating and analysing reports on property management performance.
The role gathers and analyses market, client and portfolio data, giving management the input needed to identify opportunities to improve NOI, wider commercial performance and customer satisfaction.
It will champion the use of AI tools to make reporting and analysis faster, more accurate and more scalable.
This role will be expected to work closely with the UK Operational and Asset Management teams on a day-to-day basis, with direction also being provided by the Senior Management Team.
- Key Role Responsibilities
- Supports the Data & Analytics team by developing consistent, accurate KPIs and reports for relevant stakeholders, using AI-assisted tools to speed up build, testing and QA.
- Supports the UK Operational Management Team across a range of financial and data analysis activities.
- Supports the delivery of the Data & Analytics team’s reporting requirements to meet both internal routines (e. g. weekly reporting) and external needs (investor, client and similar).
- This includes running the leasing reporting process to track and analyse leasing and occupancy performance and trends, and to highlight opportunities for rental growth or corrective marketing activity.
- Supports the property and regional managers, Operations Directors, Asset Management and Client Services teams, and other business leaders by fielding questions and requests, gathering data and reports, and helping to resolve issues relating to operational policies and performance.
- Acts as the regional Subject Matter Expert (SME) for AI, driving adoption of AI tools and products such as Claude across the Data & Analytics function and the wider business.
- Identifies practical use cases, builds simple AI-powered solutions (e. g. reporting assistants, data summarisation, automated Q&A) and supports non-technical colleagues to use AI confidently, safely and effectively in their day-to-day roles.
- Works with other functions (Digital/Performance, Asset Marketing and Brand/Insights) to track key performance indicators, provide regular, consistent reporting to the business, and connect the insights and analysis gathered by other departments with operational execution.
- Gathers and analyses financial, market and other data to assess the performance of assigned portfolios against budgets, targets and client expectations, and prepares summaries, reports and recommendations to support business decisions.
- Participates in project teams to implement process improvements and new applications and programmes aimed at improving operational performance.
- Builds an effective working relationship between the Data & Analytics team and the IT/Systems team to ensure the smooth provision of data.
- Supports requirements gathering for systems projects, along with testing and ongoing systems optimisation.
- Supports annual rent and budget-setting processes, new acquisition due diligence, and other reports, analyses and tasks as needed.
- Works with other Data & Analytics team members to identify improvements to the systems and tools used to understand, monitor and track performance.
- Contributes to new acquisitions (due diligence and operational data for underwriting) and supports their execution (asset openings).
- Knowledge & Qualifications
- Working knowledge of Power BI Desktop, Power BI Service and Workspaces, Power Query, DAX, data modelling and related technologies.
- Proficient in SQL and Python; experience of Databricks is a plus.
- Effective at using AI tools such as Chat GPT or Claude in analytics work, including how to prompt effectively to generate reliable code where needed.
- Able to communicate effectively, both in writing and verbally, to prepare and explain data and analytics for team members.
Experience & Skills
A proven track record of working within a data/analytics team.
Experience working with data lakes and data warehouses.
Experience working in real estate or related industries is preferable but not essential.
Able to work with large data sets and volumes, including segmenting data.
Experience in 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 to drive results and support the wider team and business objectives.
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 throughout.
Important Notice
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 Ask HR@greystar. com.
Our continued success depends on our people.
If you are looking for a career that values dedication, collaboration, and integrity, we are looking for you!
Greystar is a vertically integrated real estate company offering expertise in property management, investment management, and development & construction globally.
Today, we are the largest rental housing operator and developer in the US and one of the largest global investment management companies delivering industry-leading services to investors, clients, and residents.
As a Greystar team member, you will hear a lot about our Core Values.
They are the values we live and work by, reflecting who we are and the quality of our relationships.
We believe in always going that extra step for our residents, clients, investors, and each other.
- Integrity We stay true to the highest ethical standards and principles, and are honest, trustworthy, humble, and respectful in all of our words and actions.
- Equality We celebrate individual differences, encourage diversity of thought, provide equality of opportunity, and cultivate an environment where all individuals are seen, treated, and valued equally.
- Professionalism We proudly present a positive, dignified, and businesslike image at all times through our appearances, behavior, and interactions with others.
- Accountability We take responsibility and accept ownership for our words, actions, tasks, and results, and respectfully hold others to the same standard.
- Service We make service our top priority by giving our time, knowledge, and experience to serve the needs of our customers, community, and team members.
- Teamwork We work together to accomplish goals, solve problems, and enrich our work environment.
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.
To learn more, visit www. greystar. com.
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Senior Data & AI Analyst employer: Greystar
Greystar is an exceptional employer that prioritises the safety and well-being of its employees while fostering a collaborative work culture in the vibrant city of Manchester. With a strong commitment to professional development, employees are encouraged to grow their skills and advance their careers through meaningful projects that directly impact building safety compliance. The company offers competitive benefits and a supportive environment, making it an ideal place for those looking to make a significant difference in the field of building safety.
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We think this is how you could land Senior Data & AI Analyst
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We think you need these skills to ace Senior Data & AI Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Greystar. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Greystar!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
