Senior Data & AI Analyst

Greystar Netherlands Cooperatief U.A.; Den Haag; On-site; EUR 65,000 - 90,000; Full time

Job summary

Greystar is seeking a Data & AI Analyst to join the Data & Analytics Team, focusing primarily on Central Europe (Germany, the Netherlands, Austria and Denmark). The role supports asset performance by delivering data-driven insights, building KPIs, and generating reports that inform NOI and customer satisfaction strategies.

You will work closely with CE Operational and Asset Management teams, gather market data, and drive adoption of AI tools to enhance analytics across multi-language,

Qualifications

• Working knowledge of Power BI Desktop, Power BI Service and Workspaces.
• 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.
• Able to communicate effectively, both in writing and verbally, to prepare and explain data and analytics for team members.

Responsibilities

• Supports the Data & Analytics team by developing consistent, accurate KPIs and reports for relevant stakeholders.
• Supports the Central Europe 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 internal routines and external needs.
• Runs the leasing reporting process to track and analyze leasing and occupancy performance and trends.
• Fields questions and requests, gathering data and reports, and helping to resolve issues relating to policies and performance.
• Acts as SME for AI within the region, driving adoption of AI tools and products.
• Works with Digital/Performance and other teams to track KPIs and connect insights to execution.
• Gathers and analyzes financial, market and other data to assess portfolio performance against budgets and targets.
• Participates in projects to implement process improvements and new applications.
• Collaborates with IT to ensure smooth data provisioning.

Skills

Power BI

SQL

Python

AI tools

Data analysis

Communication

Tools

Power BI Desktop

Power BI Service

Power Query

DAX

Data modelling

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 by developing consistent, accurate KPIs and reports for relevant stakeholders.
• Supports the Central Europe 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 SME for AI within the region, driving adoption of a range of AI tools and products such as Claude.
• 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).
• Supports periodic service-cost reporting and the annual price versus allowance analysis.
• Supports FF&E and other service-charge-related administration.

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.
• 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.

Core Values

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.