Senior Data & AI Analyst

Greystar; Amsterdam; On-site; EUR 70,000 - 100,000; Full time

Job summary

Greystar is seeking a Data & AI Analyst to join the Data & Analytics Team focusing on Central Europe, initially covering Germany, the Netherlands, Austria and Denmark. The role supports asset performance by generating and analyzing reports on property management performance to help achieve NOI targets and operational excellence.

The role gathers market, client and portfolio data to provide management with insights to improve performance and customer satisfaction.

Qualifications

• Experience in a data/analytics team.
• Experience with data lakes and data warehouses.
• Able to work with large data sets and segment data.
• Experience in gathering requirements and translating business needs into technical specifications.
• Experience in testing and data quality practices.
• Strong analytical skills with attention to detail.
• Excellent communication to explain technical ideas to non-technical audiences.

Responsibilities

• Develop consistent, accurate KPIs and reports for relevant stakeholders.
• Support the CE Operational Management across financial and data analysis activities.
• Deliver Data & Analytics reporting to meet weekly routines and external needs (investors, clients).
• Gather data and reports, support operational policies and performance.
• Act as SME for AI within the region, promoting AI tools and products (Claude).
• Collaborate with Digital/Performance, Asset Marketing and Brand/Insights to track KPIs and provide regular reporting.
• Prepare summaries, reports and recommendations to support business decisions.
• Participate in projects to implement process improvements and new applications.

Skills

Power BI

SQL

Python

DAX

Data modelling

AI tooling (ChatGPT/Claude)

Communication skills

Tools

Power BI Desktop

Power BI Service

Power Query

DAX

Job description

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 Data & AI 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

• Supports the Data & Analytics team bydeveloping consistent,accurateKPIs and reports for relevant stakeholders.
• Supports the Central Europe Operational Management Teamacross a range of financial and data analysis activities.
• Supports the delivery of the Data & Analytics team’s reporting requirementsto meet both internal routines (e.g. weekly reporting) and external needs (investor, client and similar). This includes running the leasing reporting processto track and analyse leasing andoccupancy performance and trends, and to highlight opportunities for rental growthor corrective marketing activity.
• Supportsthe propertyandregional 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 relatingto operational policies and performance.
• Acts as SMEforAIwithin the region, driving adoption of a range of AI tools and productssuch asClaude.
• 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 withoperational execution.
• Gathers and analyses financial, market and other data to assess the performance of assigned portfolios againstbudgets,targetsand client expectations,and preparessummaries,reportsandrecommendations to support business decisions.
• Participates in project teams to implement process improvementsandnew applications and programmes aimed at improvingoperational performance.
• Builds an effective working relationship between the Data & Analytics team and the IT/Systems team to ensure the smoothprovision of data.
• Supports requirements gathering for systems projects, along with testing and ongoing systemsoptimisation.
• 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 toidentifyimprovementsto thesystems and tools used to understand,monitorand track performance.
• Contributes to new acquisitions (due diligence and operational data for underwriting) and supports their execution (asset openings).
• Supports periodic service-cost reporting and the annual price versusallowance analysis.
• Supports FF&E and other service-charge-related administration.

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.
• 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 [e-mail].