Key Skills

Job Description

About the Role 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. Key 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. About You You’re an experienced data and analytics professional with a strong technical background in Power BI, SQL and Python. Confident working with data lakes, warehouses and large, complex datasets, you know how to build effective data models, develop reporting solutions and maintain high standards of data quality. You’re also comfortable using AI tools such as ChatGPT and Claude to work smarter and improve analytical efficiency. Commercially aware and solutions-focused, you can translate business requirements into technical solutions and turn complex data into clear, actionable insight. You’re confident engaging with stakeholders at all levels, explaining technical concepts to non-technical audiences and managing external providers. Highly organised and adaptable, you work collaboratively, manage competing priorities and understand how to deliver meaningful improvements across a complex, multi-language and multi-currency business. What We Offer We include a range of benefits for our corporate team members, including competitive pension, healthcare, and holiday allowance, amongst others as standard. Please reach out if you are keen to knowa more. About Greystar Greystar is a leading, fully integrated real estate company offering expertise in investment management, development, and management of rental housing properties globally. The company's business model is unique in its ability to own, operate, and develop multifamily, student, and senior housing across the globe. Building a global platform with a local presence, Greystar continues to expand its geographic reach around the world, bringing a globally interconnected professional rental housing platform and industry funded with institutional capital to countries where the sector does not yet exist. Greystar’s pan – European platform was established in 2013 and has scaled rapidly, now with investment, operational and development presence in the UK, Ireland, France, the Netherlands, Germany, Austria, and Spain. One of Greystar’s core values is Equality, and as such, we continue to pride ourselves on being an equal opportunities employer, accounting for all protected and identifiable characteristics. We truly value diversity of thought, background and of experience. Please reach out to the Talent Acquisition team to explore opportunities at Greystar in more detail or visit our careers site at https://jobs.greystar.com/.

Core Responsibilities

Develop accurate KPIs and reporting, analyze financial, market, leasing, occupancy, and portfolio performance, and provide actionable recommendations to support operational and asset-management decisions. Promote regional adoption of AI tools and collaborate on systems, data, and process improvements, including support for budgets, acquisitions, and operational launches.

Requirements

The role calls for an experienced data and analytics professional with strong Power BI, SQL, and Python skills, experience working with data lakes, warehouses, and complex datasets, and the ability to build data models and reporting solutions. Candidates should be commercially aware, communicate technical insights clearly to varied stakeholders, use AI tools effectively, and manage competing priorities in a complex, multilingual, multi-currency business.

Benefits

• Competitive Pension
• Healthcare
• Holiday Allowance