Executive, Data Analyst

The Ascott Limited; Singapore; On-site; SGD 40,000 - 60,000; Full time

Job summary

A leading hospitality company in Singapore seeks a Data Analyst to analyze business data and provide insights to enhance operational efficiency and guest experiences. This role requires a Bachelor's degree and proficiency in SQL, with opportunities to use industry-leading tools like Power BI. Ideal for fresh graduates or those with up to 2 years of experience.

Qualifications

• Bachelor's degree in a relevant field.
• Fresh graduates with internship experiences or 1–2 years in data analysis.
• Proficiency in SQL for data extraction.

Responsibilities

• Analyze and interpret data to support business decisions.
• Generate reports, dashboards, and data visualizations.
• Identify trends in data for operational efficiency.

Skills

SQL

Data visualization

Analytical thinking

Problem-solving

Communication

Education

Bachelor’s degree in Computer Science, Data Analytics or related field

Tools

Power BI

Tableau

QlikView

Job description

About Us

Since pioneering Asia Pacific’s first international-class serviced residence with the opening of The Ascott Singapore in 1984, Ascott has grown to be a trusted hospitality company with over 950 properties globally. Headquartered in Singapore, Ascott’s presence extends across more than 230 cities in over 40 countries in Asia Pacific, Central Asia, Europe, the Middle East, Africa, and the USA.

Its diversified accommodation offerings span serviced residences, co-living properties, hotels and independent senior living apartments. Ascott’s award-winning hospitality brands include Ascott, Citadines, lyf, Oakwood, Somerset, The Crest Collection, The Unlimited Collection, Fox, Harris, POP!, Preference, Quest, Vertu and Yello. Through Ascott Star Rewards (ASR), Ascott’s loyalty programme, members enjoy exclusive privileges and offers at participating properties.

A wholly owned business unit of CapitaLand Investment Limited, Ascott is a leading vertically-integrated lodging operator. Harnessing its extensive network of third-party owners and in-market expertise, Ascott grows fee-related earnings through its hospitality management and investment management capabilities.

The Opportunity

Join Ascott as a Data Analyst and play a key role in shaping the future of hospitality. In this dynamic role, you’ll analyze business data, uncover trends, and provide insights that drive strategic decisions across our global portfolio of serviced residences and hotels. Whether you’re a fresh graduate or have 1–2 years of experience, this is an excellent opportunity to work with industry-leading tools like Power BI and SQL while collaborating with stakeholders to provide business insights, enhance guest experiences and lift operational efficiency.

Responsibilities

• Assist in analyzing and interpreting data to support business decisions and strategic initiatives.
• Collect, clean, and organize datasets to ensure data accuracy and integrity.
• Generate reports, dashboards, and data visualizations using BI tools to provide insights for stakeholders.
• Identify trends and patterns in data to support business growth and operational efficiency.
• Support data management processes, including documentation and best practices for data governance.
• Work with cross-functional teams to gather data requirements and improve reporting capabilities.
• Assist in evaluating datasets and identifying opportunities to improve data reliability, efficiency, and quality.
• Provide support for ad-hoc data requests and analysis as needed.

Requirements

• Bachelor’s degree in Computer Science, Data Analytics, Statistics, Business Intelligence, or a related field.
• Fresh graduates with internship experiences, or candidates with 1–2 years of experience in data analysis, business intelligence, or a related role.
• Proficiency in SQL for data extraction and optimization.
• Experience with data visualization tools such as Power BI, Tableau, or QlikView.
• Basic knowledge of Python, R, or other analytical programming languages.
• Strong analytical thinking, problem-solving skills, and attention to detail.
• Good communication skills to translate data insights into actionable recommendations.
• Familiar with Microsoft analytics tools (SQL Server, Azure Data Factory, Power BI) will be advantageous.