Collaborate with cross-functional teams to identify data-driven solutions and insights via dashboards/reports.
Utilize statistical techniques and data mining skills to analyze datasets.
Design and implement data collection systems and strategies to ensure accurate and reliable data capture from various sources.
Conduct thorough data cleaning, validation, and transformation to prepare datasets for analysis.
Perform ad-hoc analysis and generate actionable insights to support strategic decision-making and operational improvements.
Present findings and recommendations to senior management in a clear and concise manner, using data visualization tools and presentations.
Stay abreast of industry trends, best practices, and emerging technologies in data analytics and property development to drive continuous improvement initiatives.
Requirements:
Bachelor\'s degree in Statistics, Mathematics, Computer Science, Economics, or related field.
Proven experience of 3 years as a data analyst or related role, preferably in the property development or real estate industry.
Proficiency in statistical analysis tools and programming languages such as Python, R, SQL, and/or SAS.
Experience with data visualization tools such as Power BI, or similar software.
Possesses strong analytical skills working with unstructured datasets.
Attention to detail and a commitment to producing high-quality, accurate analysis and insights.
Experience in processes supporting data structures, metadata, dependency, and data transformation.
Excellent communication and interpersonal skills with the ability to collaborate effectively with cross-functional teams