The Job
As a Data Analyst at CapitaLand Development, you will play an integral role in establishing the optimum data infrastructure to facilitate the analysis of complex datasets and the development of effective visualization for supporting strategic decision-making and process improvement. You will be part of the Strategic Planning Division.
Responsibilities
- Collaborate with cross-functional teams to understand business requirements and translate them into actionable analytical solutions
- Proactively identify areas of improvement and opportunities for automation, streamlining data processes, and enhancing data quality
- Develop and maintain reports, dashboards, and visualizations using Power BI, ensuring accurate and timely delivery of data-driven insights to stakeholders
- Collect, analyze, and interpret large datasets to identify trends, patterns, and insights that can drive key business decisions
- Conduct ad-hoc analysis and provide data-driven recommendations to support strategic initiatives and tactical decision-making
- Stay up-to-date with industry trends, new technologies, and best practices in data analysis and visualization
Requirements
- Bachelor's degree in a related field such as Mathematics, Statistics, Economics, or Computer Science
- 1-2 years of experience in data analysis, preferably in a similar role
- Proficiency in Power BI and experience in building dashboards, reports, and visualizations
- Strong analytical thinking and problem-solving skills, with the ability to translate complex data into meaningful insights
- Proficient in SQL and experience with querying and manipulating large datasets
- Strong attention to detail and ability to work with minimal supervision in a fast-paced environment
- Excellent communication and presentation skills, with the ability to effectively communicate complex data concepts to both technical and non-technical stakeholders
- Preferred: Experience with other data visualization tools and programming languages such as Python or R
- Knowledge of data warehousing concepts and ETL processes
- Familiarity with statistical analysis and modeling techniques
