Job DescriptionJob Summary:This role combines business acumen with technical expertise to analyze large datasets, derive meaningful insights, and support data-driven decision-making for our real estate development projects. The ideal candidate will have a strong statistical background, technical coding ability to extract and manipulate data, and the communication skills to present insights effectively to management and internal stakeholders.
Responsibilities:- Analyze large datasets from various domains within the organization, including sales, operations, and customer behavior.
- Provide macroeconomic insights to guide strategic planning and market positioning.
- Develop customer insight analyses to understand trends, preferences, and opportunities.
- Extract, clean, and manage data from multiple internal and external sources.
- Build and maintain efficient data pipelines to support analysis and reporting.
- Collaborate with IT and data teams to ensure data quality and accessibility.
- Design and develop interactive dashboards and reports to communicate findings effectively.
- Present data insights and recommendations in a clear and compelling manner for management and stakeholders.
- Provide periodic performance updates and strategic recommendations based on data analysis.
- Write and optimize SQL queries to extract and transform data from databases.
- Develop statistical models to forecast trends and assess business scenarios.
- Utilize scripting and programming languages (e.g., Python, R) to perform advanced analyses and automate processes.
- Monitor and interpret macroeconomic trends, market conditions, and competitor activity.
- Provide actionable insights to influence project planning, marketing strategies, and investment decisions.
Requirement and Skills:- Bachelor's degree in statistics, economics, data science, computer science, or related fields.
- 4-6 years of experience in business intelligence, data analysis, or a related role.
- Proven ability to analyze complex datasets and generate actionable business insights.
- Experience in real estate, construction, or property development sectors is an advantage.
- Strong proficiency in SQL and database management.
- Proficiency in data analysis tools (e.g., Python, R) and visualization platforms (e.g., Tableau, Power BI).
- Knowledge of statistical methods and predictive modeling techniques.
- Familiarity with data warehouses and ETL processes.