Senior Data & AI Analyst

Greystar (International); Amsterdam; On-site; EUR 60,000 - 95,000; Full time

Benefits offered by this job

competitive pension

healthcare

holiday allowance

Job summary

Greystar is seeking an experienced Data & Analytics professional in Amsterdam to develop robust KPIs, models, and reporting solutions. You will support the Central Europe Operational Management Team with financial and data analysis, and drive adoption of AI tools to enhance analytical efficiency.

You will translate business requirements into technical solutions, work with stakeholders across levels, and help deliver consistent, high-quality data insights across a complex, multi-currency business.

Qualifications

• Experience in data & analytics with Power BI, SQL and Python.
• Comfortable with data lakes, warehouses and large datasets.
• Ability to translate business requirements into technical solutions.
• Strong stakeholder engagement across levels.

Responsibilities

• Develop consistent KPIs and reports for stakeholders.
• Support Central Europe Operational Management with financial/data analysis.
• Deliver weekly and investor/client reporting; analyze leasing/occupancy trends.
• Collaborate with IT/Systems and other teams to ensure data quality.

Skills

Power BI

SQL

Python

Tools

ChatGPT

Claude

Job description

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.

• competitive pension
• healthcare
• holiday allowance

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.

Equality Commitment

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.