Data & AI Analyst
Greystar Worldwide
Data & AI Analyst
Greystar Worldwide
Vertical-integrated residential rental housing platform
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 $300 billion of real estate in more than 265 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 $35 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 Analyst works in the Data & Analytics Team, focusing primarily on Central Europe (Germany, the Netherlands, Austria and Denmark) 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 also carries out other analytical tasks that support the running of the business. This role will be expected to work closely with the Central Europe Operational and Asset Management teams on a day-to-day basis, with direction also being provided by the Central Europe Senior Management Team.JOB DESCRIPTION
Key Role Responsibilities:
Knowledge & Qualifications:
WorkingknowledgeofPower BI Desktop, Power BI Service and Workspaces, Power Query, DAX,datamodellingand related technologies.
Technical experiencewith Power BI composite and multi-dimensional models, and row-level security, is a plus.
Proficient in SQLandPython.
Effective at usingAI tools such as ChatGPT or Claude inanalytics work, including how to prompt effectively to generate reliablecode where needed.
Able to communicate effectively, both in writing and verbally, to prepare and explain data and analytics forteam members.
Experience & Skills:
A proventrack recordofworking within a data/analytics team.
Experience working withdata lakes and data warehouses.
Experience working in real estate or related industriesis preferable but notessential.
Able to work with large data sets and volumes, including segmentingdata.
Experience ingatheringrequirementsand translating businessneeds into technicalspecifications.
Experience in testing and data quality practices.
Strong analytical skills, with the ability to collect, organise,analyseand sharelarge amountsof information accurately and with attention to detail.
Adept at problem-solving, taking a broad perspective toidentifyor help definesolutions
Significant experiencein managing contracts,servicesand external resource providers.
Strong communicationskills, with the ability to engage and explain highlytechnical ideas to a non-technical audience.
Expertisein optimising data and processes in a multi-language and multi-currency environment.
A positive team playerwith an adaptable, flexible approach and the ability to work collaboratively to drive results and support the wider team and businessobjectives.
Excellentorganisationskills, including the ability toprioritiseworkload and show good judgementunder pressure.
Excellent interpersonal skills and the ability to work with impact and influence.
Awillingness to be flexible and adaptable to changing priorities.
Demonstrated commercial awareness, withan understandingofthe cycle of business change and theimportance of engagingstakeholders 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 [email protected].
Vertical-integrated residential rental housing platform
Greystar Worldwide focuses on residential rental housing with a vertically integrated model that combines investment, development, and property management. Its products work by owning and operating rental properties across international, regional, and local markets through a global platform and local offices, enabling scale, professional reporting, and capital relationships while maintaining local execution. The company differentiates itself through its full-stack approach, combining ownership, development, management, and investment disciplines, plus a large global workforce and long industry experience to provide consistent service and value across all phases of the real estate cycle. Its goal is to create high-quality, inviting homes and enhanced living experiences by leveraging its integrated capabilities and extensive network of capital and expertise.
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