πΉ Job Title: Intern, Brand & Marketing (Data Analytics)
πΉ Company: CapitaLand
πΉ Location: Singapore, Central Singapore
πΉ Job Type: Full-time, Internship
πΉ Category: Real Estate, Marketing
πΉ Date Posted: May 20, 2025
πΉ Experience Level: Entry-level (0-2 years)
πΉ Remote Status: On-site
Key aspects of this role include:
ASSUMPTION: This role is ideal for students pursuing degrees in Data Science, Computer Science, or Statistics who are passionate about the hospitality industry and eager to gain practical experience in data analysis and marketing.
β Collect and organize data related to user behavior, market trends, and product performance
β Analyze and interpret large datasets to identify trends, patterns, and insights
β Utilize data to identify opportunities for program optimization, personalization, and targeted campaigns
β Develop data visualizations to effectively communicate insights to cross-functional teams
β Support A/B testing and experimentation efforts to improve product features
β Work closely with customer support and user research teams to understand user pain points and preferences
β Support the development of a deep understanding of customer needs and behaviors to deliver exceptional customer experiences
ASSUMPTION: The role may involve working with sensitive customer data, so strong ethical values and a professional demeanor are essential.
Education: Currently pursuing a degree in Data Science, Computer Science, or Statistics
Experience: None specified, but familiarity with data analysis tools and languages is required
Required Skills:
Preferred Skills:
ASSUMPTION: While not explicitly stated, having some basic knowledge of marketing principles and strategies may be beneficial for this role, as it involves working closely with marketing teams.
Salary Range: As this is an internship, the salary range is not provided. However, interns at CapitaLand typically receive a competitive stipend based on industry standards for entry-level positions in Singapore.
Benefits:
Working Hours: Full-time (40 hours per week), with flexible working hours and a supportive work-life balance
ASSUMPTION: The salary range provided is an estimate based on industry standards for entry-level internships in Singapore's real estate sector. Actual compensation may vary depending on factors such as the intern's academic performance, relevant skills, and the company's discretion.
Industry: CapitaLand is a leading global real asset manager with a strong Asia foothold, focusing on real estate investment and development. Its diversified real asset classes include retail, office, lodging, industrial, logistics, business parks, wellness, self-storage, data centers, private credit, and special opportunities.
Company Size: CapitaLand has over 10,000 employees globally, providing a large and diverse work environment for interns to learn and grow.
Founded: CapitaLand was listed in Singapore in 2021, with a history dating back to its predecessor companies.
Company Description:
Company Specialties:
Company Website: https://www.capitaland.com
ASSUMPTION: CapitaLand's diverse portfolio and global presence provide interns with ample opportunities to learn and gain exposure to various aspects of the real estate industry.
Career Level: This role is an entry-level internship, providing an excellent starting point for students interested in data analysis and marketing within the real estate sector.
Reporting Structure: The intern will report directly to the Marketing Data Analytics team and work closely with various cross-functional teams, such as customer support and user research.
Work Arrangement: This is an on-site, full-time internship with flexible working hours and a supportive work-life balance.
Growth Opportunities:
ASSUMPTION: CapitaLand's internship program is designed to provide a comprehensive learning experience, with opportunities for professional development and growth throughout the internship.
Office Type: CapitaLand's headquarters is located in the Ascott Centre for Excellence, providing a modern and collaborative work environment for interns.
Office Location(s): 168 Robinson Road, Capital Tower, Singapore, 068912
Geographic Context:
Work Schedule: Full-time (40 hours per week), with flexible working hours and a supportive work-life balance
ASSUMPTION: CapitaLand's office environment is designed to foster collaboration, innovation, and learning, providing interns with an engaging and supportive work environment.
Typical Process:
Key Assessment Areas:
Application Tips:
ATS Keywords: Data Analysis, SQL, Python, Data Visualization, Tableau, Power BI, Marketing, Real Estate, Internship, Entry-level, Customer Behavior, Market Trends, Product Performance
ASSUMPTION: CapitaLand's application process is designed to assess candidates' skills, experiences, and cultural fit, providing a fair and transparent hiring experience.
ASSUMPTION: The tools and technologies listed are essential for this role, and candidates should be familiar with them to excel in the position.
Company Values:
Work Style:
Self-Assessment Questions:
ASSUMPTION: CapitaLand's company culture is built on its core values, and candidates who demonstrate a strong fit with these values are more likely to succeed in the organization.
ASSUMPTION: These challenges are common in entry-level positions and can be overcome with strong problem-solving skills, adaptability, and a willingness to learn and grow.
ASSUMPTION: While this role shares similarities with other data analyst internships, its unique focus on the real estate and hospitality industries sets it apart and offers distinct career development opportunities.
ASSUMPTION: These sample projects are representative of the types of tasks and responsibilities the intern may encounter in this role, providing a glimpse into the day-to-day work and expected outcomes.
ASSUMPTION: Asking thoughtful and engaging questions during the interview demonstrates your interest in the role and provides valuable insights into the position and company culture.
To apply for this position:
β οΈ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.