Collaborate with crossfunctional teams to identify datadriven 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 adhoc analysis and generate actionable insights to support strategic decisionmaking 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:
Bachelors 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 highquality 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 crossfunctional teams
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