Research Data Analyst

Sydney, Australia

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Job Title

Research Data Analyst

Job Description Summary

Join Cushman & Wakefield’s Australian Research team and play a pivotal role in delivering best-in-class market insights. As a Research Data Analyst, you’ll be responsible for collecting, maintaining, and analysing commercial property data, ensuring real-time business intelligence through Power BI dashboards and advanced data management techniques. This role is ideal for analytical thinkers who thrive in dynamic, data-driven environments and enjoy collaborating across teams to develop actionable insights.

Job Description

Key Responsibilities

  • Maintain and enhance real estate market databases to ensure accuracy and accessibility.

  • Develop and manage Power BI dashboards, creating meaningful visualisations for operational and strategic decisions.

  • Integrate, organize, and analyse data from internal systems and external sources.

  • Support quarterly market reporting, ensuring timely and data-backed analysis.

  • Collaborate across business and tech teams to drive automation and efficiency in data workflows.

  • Assist in the creation of thought leadership publications, presentations, and insights for internal and external stakeholders.

  • Work closely with Cushman & Wakefield’s Asia Pacific research team, contributing to regional and global research initiatives.

  • Respond to ad-hoc data requests, delivering compelling insights and solutions.

About You

To succeed in this role, you’ll bring a strong analytical mindset and a passion for data-driven decision-making.

  • Bachelor’s degree in Business, Data Science, Statistics, or a related field.

  • 1–3 years of experience in data analysis, preferably within real estate or property sectors.

  • Proficiency in Power BI, with a demonstrated ability to create impactful dashboards and reports.

  • Strong numerical, analytical, and problem-solving skills.

  • Excellent written and verbal communication skills, with the ability to present data findings.

  • Experience managing data assets, warehouses, and integration pipelines.

  • Ability to work autonomously while collaborating within a dynamic team.

  • Advanced Microsoft Excel & PowerPoint skills; GIS knowledge is a plus.

Why Join Cushman & Wakefield?

Cushman & Wakefield is a global leader in real estate services, redefining the way people work, shop, and live. When you join us, you gain access to:

  • Career growth opportunities, developing new systems and data-driven insights.

  • A hybrid work environment.

  • The chance to work alongside top leaders in the real estate industry.

  • A fast-paced, collaborative team driving meaningful market research and innovation.

We welcome applicants of all backgrounds, including Aboriginal and Torres Strait Islander individuals, as part of our commitment to Reconciliation Action Plans (RAP). Your contributions will help us create a more inclusive and dynamic work environment.

We have a vision of the future, where people simply belong.

That's why we support and celebrate inclusive causes, not just on days of recognition throughout the year, but everyday. We embrace diversity across race, colour, religion, sex, national origin, sexual orientation, gender identity or persons with disabilities or protected veteran status. As part of our ongoing commitment to RAP, Aboriginal or Torres Strait Island Islanders are highly encouraged to join us!

We ensure DEI is part of our DNA as a global community - it means we go way beyond than just talking about it - we live it. If you want to live it too, join us.

We are committed to keeping you, our workplaces and our client spaces safe & healthy.







As an equal opportunity employer, Cushman & Wakefield encourages Aboriginal and Torres Strait Islander and female candidates to apply. Cushman & Wakefield promotes safety at all times.

INCO: “Cushman & Wakefield”
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Business Intelligence Data analysis Data management Excel Market research Pipelines Power BI Research Statistics

Region: Asia/Pacific
Country: Australia

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