Data Analytics Intern: Real Estate Dashboards & Insights

CapitaLand Investment Limited; Singapore; On-site; SGD 13,000 - 20,000; Full time

Job summary

CapitaLand Group is seeking an Intern in Data Analytics to assist with data collection, cleaning, and preparation from internal systems. You will support dashboard maintenance using Power BI or Tableau, perform basic exploratory data analysis, and help document data workflows and processes.

The role emphasizes collaboration with operations, marketing and revenue teams, passion for analytics, and developing skills in Python and SQL within a hospitality analytics context.

Qualifications

• Academic exposure to data query languages like SQL and Python.
• Familiar with dashboard visualization tools like PowerBI, Tableau, QlikView.

Responsibilities

• Data collection and validation from internal systems; ensure data accuracy and completeness.
• Data preparation and transformation including cleaning, formatting and structuring datasets.
• Support report and dashboard maintenance using Power BI or Tableau; ensure timely data refresh and troubleshoot discrepancies.
• Conduct basic exploratory data analysis and generate summary statistics and simple visualizations.
• Document data workflows and processes; propose automation or efficiency improvements.
• Collaborate with operations, marketing and revenue teams to understand data needs and ad hoc reporting requests.
• Develop ongoing skills in data analytics tools (PowerBI) and languages (Python, SQL) and contribute to knowledge sharing sessions.

Skills

SQL

Python

PowerBI

Tableau

QlikView

Education

Analytics-related degree

Tools

PowerBI

Tableau

QlikView

Job description

CapitaLand Group is seeking an Intern in Data Analytics to assist with data collection, cleaning, and preparation from internal systems. You will support dashboard maintenance using Power BI or Tableau, perform basic exploratory data analysis, and help document data workflows and processes.

The role emphasizes collaboration with operations, marketing and revenue teams, passion for analytics, and developing skills in Python and SQL within a hospitality analytics context.