Intern, Data Analytics

The Ascott Limited; Singapore; On-site; SGD 20,000 - 33,000; Part time

Job summary

CapitaLand is seeking a Data Analytics Intern to assist in collecting, validating, and transforming data from internal systems for analysis and reporting. You will work with senior analysts to support dashboards in Power BI or Tableau, conduct basic analyses, and prepare insights to aid business decisions.

You will gain exposure to hospitality analytics, learn SQL and Python, and document data workflows while collaborating with operations, marketing and revenue teams.

Qualifications

• Academic exposure to data query languages like SQL and Python.
• Familiar with dashboard visualization tools like PowerBI, Tableau, QlikView.
• Currently pursuing a degree related to analytics or CS/IS.
• Interest in hospitality analytics and data-driven decision making.

Responsibilities

• Assist in data collection and validation from internal systems.
• Prepare and transform datasets for analysis and reporting.
• Support dashboards and reports using Power BI or Tableau; ensure data freshness.
• Perform basic data analyses and generate summary insights.
• Document data workflows and suggest process improvements.
• Collaborate with operations, marketing and revenue teams on analytics requests.
• Develop skills in analytics tools and domain knowledge through learning sessions.

Skills

Data analytics

SQL

Python

Data visualization

Education

Pursuing degree in Business Analytics / Data Analytics

Tools

Power BI

Tableau

QlikView

Job description

About Us

CapitaLand Group ( CapitaLand ) is one of Asia’s largest diversified real estate groups. Headquartered in Singapore, CapitaLand’s portfolio focuses on real estate investment management and real estate development, and spans across more than 270 cities in over 45 countries.

Job Description

Job Responsibilities:

Data Collection and Validation

• Assist in gathering data from various internal systems such as Property Management Systems ( PMS ), customer feedback platforms, and financial databases. Ensure data accuracy and completeness through routine validation and cleansing processes.

Data Preparation and Transformation

• Perform data preprocessing tasks including cleaning, formatting, and structuring datasets to prepare them for analysis and reporting. This may involve handling missing values, standardizing formats, and merging multiple data sources.

Report and Dashboard Support

• Collaborate with senior analysts to update and maintain operational and management dashboards using tools like Power BI or Tableau. Ensure timely refresh of data and troubleshoot any discrepancies in visualizations.

Basic Data Analysis and Insights Generation

• Conduct preliminary exploratory data analysis to identify trends, patterns, and anomalies. Support the team by producing summary statistics and simple visualizations to aid business decision-making.

Documentation and Process Improvement

• Document data workflows, processing steps, and standard operating procedures to enhance team knowledge sharing and operational consistency. Propose suggestions for process automation or efficiency improvements where applicable.

Cross-Functional Collaboration

• Work closely with stakeholders from operations, marketing, and revenue management teams to understand data requirements and support specific analytics requests or ad hoc reporting needs.

Learning and Skill Development

• Continuously develop technical skills in data analytics tools ( such as PowerBI ), programming languages ( such as Python or SQL ), and domain knowledge in hospitality analytics, contributing actively to team knowledge exchange sessions.

Job Requirements

• Currently pursuing a degree in Business Analytics, Data Analytics, Data Science, Computer Science, Information Systems, Engineering ( with data-related coursework ) or related studies in Analytics.
• Academic exposure to data query languages like SQL and Python.
• Familiar with dashboard visualization tools like PowerBI, Tableau, QlikView.

Closing Statement

At CapitaLand, we advocate fair employment practices, and recruit talents based on merit and fit with our Corporate values. We provide equal opportunity for all qualified persons and build an inclusive workplace regardless of race, gender, age, religious belief or nationality.

Only shortlisted candidates will be notified.