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Frankfurt Corporate Office, Frankfurt, DE, Germany
Onsite
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:
Working knowledge of Power BI Desktop, Power BI Service and Workspaces, Power Query, DAX, data modelling and related technologies.
Technical experience with Power BI composite and multi-dimensional models, and row-level security, is a plus.
Proficient in SQL and Python.
Effective at using AI tools such as ChatGPT 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 AskHR@greystar.com.