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Cushman & Wakefield

Data Analyst

Posted Yesterday
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In-Office
Singapore, SGP
Mid level
In-Office
Singapore, SGP
Mid level
Analyze operational, financial, maintenance, and resident feedback data to identify trends and service gaps. Develop and maintain dashboards and KPIs, automate reporting, improve data governance, and provide actionable insights to operations and management. Prepare presentations and support ad-hoc studies to inform strategic planning and enhance resident experience.
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Job Title

Data Analyst

Job Description Summary

We are seeking a Data Analyst to support business planning and operational excellence through data-driven insights that enhance service delivery, resident satisfaction, and long-term estate management outcomes.
Key responsibilities include:

Job Description

About the Job:
  • Analyse operational, financial, maintenance, and resident feedback data to identify trends, service gaps, and opportunities for improvement.
  • Develop and maintain dashboards, reports, and performance metrics to support management decision-making and strategic planning.
  • Monitor key performance indicators across service delivery, maintenance operations, resident engagement, and estate improvement initiatives.
  • Analyse residents' feedback, requests, complaints, and service patterns to identify recurring issues and recommend preventive solutions.
  • Work closely with operational teams to provide insights that improve resource allocation, maintenance planning, and community programmes.
  • Support management in identifying emerging trends and developing data-driven strategies to enhance the living environment and resident experience.
  • Automate reporting processes and improve data governance, accuracy, and accessibility across the organisation.
  • Prepare presentations and reports for management and stakeholders to support business reviews and planning discussions.
  • Support ad-hoc studies, surveys, and projects related to operational performance and community outcomes.
About You:
  • Bachelor's Degree in Data Analytics, Business Analytics, Statistics, Information Systems, Mathematics, or a related discipline.
  • Minimum 3 years of experience in data analytics, business intelligence, reporting, or performance analysis.
  • Proficient in Power BI, Excel, SQL, and data visualisation tools.
  • Strong analytical and problem-solving skills with the ability to translate data into actionable recommendations.
  • Excellent communication and stakeholder management skills with the ability to present insights to both technical and non-technical audiences.

Why join Cushman & Wakefield?

As one of the leading global real estate services firms transforming the way people work, shop and live working at Cushman & Wakefield means you will benefit from;

Being part of a growing global company;

Career development and a promote from within culture;

An organisation committed to Diversity and Inclusion

We're committed to providing work-life balance for our people in an inclusive, rewarding environment.

We achieve this by providing a flexible and agile work environment by focusing on technology and autonomy to help our people achieve their career ambitions. We focus on career progression and foster a promotion from within culture, leveraging global opportunities to ensure we retain our top talent. We encourage continuous learning and development opportunities to develop personal, professional and technical capabilities, and we reward with a comprehensive employee benefits program.

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 every day. We embrace diversity across race, colour, religion, gender, national origin, sexual orientation, gender identity or persons with disabilities or protected veteran status. 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.










INCO: “Cushman & Wakefield”

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