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Greystar Worldwide

Vertical-integrated residential rental housing platform

Data & AI Analyst

Data Analysis +1Confirmed live in the last 24 hours
Full-timeFrankfurt, GermanyNo salary listedIn-person

About the Job

Requirements

  • Working knowledge of Power BI Desktop, Power BI Service and Workspaces, Power Query, DAX, data modelling and related technologies.
  • Proficiency in SQL and Python.
  • Ability to use AI tools such as ChatGPT or Claude in analytics work, including prompting effectively to generate reliable code where needed.
  • A proven track record of working within a data or analytics team.
  • Experience working with data lakes and data warehouses.
  • Ability to work with large data sets and volumes, including segmenting data.
  • Experience gathering requirements and translating business needs into technical specifications.
  • Experience in testing and data quality practices.
  • Strong analytical skills, including collecting, organising, analysing and sharing large amounts of information accurately and with attention to detail.
  • Problem-solving ability, including identifying or helping define solutions from a broad perspective.
  • Significant experience managing contracts, services and external resource providers.
  • Ability to communicate technical ideas to non-technical audiences.
  • Expertise in optimising data and processes in a multi-language and multi-currency environment.
  • Ability to prioritise workload and exercise good judgement under pressure.
  • Interpersonal skills to work with impact and influence.
  • Commercial awareness, including understanding business change cycles and stakeholder engagement.

Responsibilities

  • Develop consistent, accurate key performance indicators and reports for relevant stakeholders.
  • Support the Central Europe Operational Management Team across financial and data analysis activities.
  • Deliver reporting requirements for internal routines and external needs, including investor and client reporting.
  • Run leasing reporting to track and analyse leasing and occupancy performance and trends, and identify opportunities for rental growth or corrective marketing activity.
  • Respond to questions and requests from property and regional managers, Operations Directors, Asset Management, Client Services and other business leaders by gathering data and reports and helping resolve issues relating to operational policies and performance.
  • Act as the regional subject matter expert for AI and drive adoption of AI tools and products such as Claude.
  • Work with Digital/Performance, Asset Marketing and Brand/Insights to track key performance indicators, provide regular and consistent reporting, and connect insights from other departments with operational execution.
  • Gather and analyse financial, market and other data to assess assigned portfolio performance against budgets, targets and client expectations, and prepare summaries, reports and recommendations to support business decisions.
  • Participate in project teams implementing process improvements and new applications and programmes aimed at improving operational performance.
  • Build an effective working relationship with the IT/Systems team to ensure smooth provision of data.
  • Support requirements gathering for systems projects, testing and ongoing systems optimisation.
  • Support annual rent and budget-setting processes, new acquisition due diligence, and other reports, analyses and tasks as needed.
  • Identify improvements to systems and tools used to understand, monitor and track performance with other Data & Analytics team members.
  • Contribute to new acquisitions through due diligence and operational data for underwriting, and support asset openings.
  • Support periodic service-cost reporting and annual price-versus-allowance analysis.
  • Support FF&E and other service-charge-related administration.

Desired Qualifications

  • Technical experience with Power BI composite and multi-dimensional models and row-level security.
  • Experience working in real estate or related industries.

About the Company

Greystar Worldwide

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.

Company size
10,001+
Company stage
Debt Financing
Total funding
$511.6M
Headquarters
Charleston, SC
Founded
1993

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