Total 4 Internship payroll analyst job vacancies in Information Technology category in Hong Kong

The intern will be attached to the Fleet Digital section and will support the team in the following activities: 

• Extract and analyze sets of data from multiple sources and database for Harbour Launch, Tugs and Crew Deployment; develop and test hypothesis and communicate with section managers recommendations. 

• Identify and interpret trends or patterns in the collected data sets. 

• Detect anomalies, spot discrepancies and possible defects from our Fleet Management System 

• Produce insights on operations data using analytic tools (Python/Excel/Power BI) 

• Design, develop and maintain ongoing reports and dashboards. 

• Take in the lead in digitalization projects by working with key stakeholders within and outside of organization. 

• Perform any other ad-hocs duties as assigned. 

Preferred Skills

• Proficiency in Python Programming Language and Excel VBA 

• Experience in UI/UX designing and able to develop dashboard with data visualization tools (Example: Power BI and Tableau) 

• Analytical mindset driven to understand machinery and operation data 

• Strong organizational and problem-solving skills 

• Commitment to learning including new analytical methods and Harbour Craft profile 

• Ability to identify data-driven insights and trends from large data sets, keeping in mind of data quality and accuracy 

• Able to develop Robotics Process Automation (RPA) – UiPath would be a plus. 

Ensure the accuracy, completeness, and consistency of customer data within the system by performing regular data cleansing, and validation checks. Ensure proper data entry protocols, duplication control, and timely updates, to support reliable reporting and effective decision-making.

Assist and optimize end-to-end customer service and sales workflows to improve efficiency, responsiveness, and overall customer experience. Assist sales manager to identify gaps and implement best practices, standard operating procedures (SOPs).

Assist and coordinate customer engagement by ensuring timely, accurate, and communication throughout the sales cycle. Support quotation process by standardizing templates, improving turnaround time, and ensuring pricing accuracy in agreement and alignment with customer requirements.

Get to Know the Team

The Integrity team is dedicated to safeguarding all Grab users. We ensure user safety, prevent fraud, and help the Grab ecosystem achieve regulatory compliance. This team involves itself in the entire data lifecycle, from analyzing user behavior to developing detection and prevention modules across user onboarding and transaction journeys.

Get to Know the Role

Reporting to an Analytics Manager in the Integrity team, you will implement controls that protect Grab's ecosystem. You will assist with deep-dive analysis on user behaviors, product funnels, and transaction patterns to help identify potential risks and new fraud typologies. Your analytical support will contribute to the design of risk detection strategies, optimization of AI/Machine Learning models, and implementation of crucial risk controls to safeguard a diverse user base.

You will base onsite in our Petaling Jaya office.

The Critical Tasks You Will Perform

• Assist in measuring and analyzing key risk metrics, such as fraud loss, business/product performance, and the performance/effectiveness of existing risk controls across Grab business verticals.
• Support the identification of new fraud and risk patterns by extracting and visualizing data, contributing to the development of data-driven rules and strategies.
• Perform statistical analyses to improve risk detection systems and ensure data integrity.
• Contribute to reporting and data visibility efforts by preparing datasets and dashboards to empower stakeholders (Product, Engineering, Risk Operations) with insights on key risk metrics and evolving attack patterns.
• Support data extractions and preparations required for internal audits and compliance assessments.
• Help design and analyze experiments to determine the effectiveness of new or existing risk controls within the platforms.

About Us

Founded in 2014, Lumens Group is leading the transformation of the mobility industry in Singapore. We have successfully built one of Singapore's largest car fleets and expanded our offerings to personal and corporate leasing, purchasing and financing. As we enter a new phase, we're building an integrated ecosystem for merchants and consumers, driven by advanced technology and a mission to enrich everyday life. Now, we're on the lookout for a data analyst intern to join us in Singapore.

Your Role on Our Journey

We are looking for a Data Analyst Intern to support our business teams in making data driven decisions. The intern will work closely with different stakeholders to understand processes and reporting needs and then translate them into automated solutions and dashboards. This role is ideal for someone who is detail-oriented, curious, and eager to learn about data analysis and business operations.

Your Day-to-Day Adventures

• Collaborate with different teams to understand workflows, requirements, and reporting needs.
• Automate report generation to improve efficiency and reduce manual work.
• Build, update, and schedule Power BI dashboards for business monitoring.
• Clean, transform, and prepare data from multiple sources for analysis and automation.
• Assist in setting up data pipelines to ensure data accuracy, timeliness, and usability.
• Conduct ad-hoc analyses to provide insights that support business decisions.

What Makes You a Perfect Fit

• Proficient in Power BI (dashboard creation, scheduling, data modeling).
• Familiarity with data integration and data pipelining (extracting, cleaning, and preparing data from multiple sources).
• Basic scripting/programming knowledge (e.g., Python for report automation, data cleaning, or ETL tasks).
• Strong analytical and problem-solving skills with attention to detail.
• Good communication skills to translate business needs into technical requirements.

Good to Have (Bonus) Skills

• Knowledge of SQL for querying and joining datasets.
• Experience with Excel/Google Sheets for quick analyses.
• Exposure to ETL tools or cloud data platforms.
• Basic understanding of data governance, quality checks, and version control.

Ready to Drive the Extra Mile?

Send your resume that showcases your unique spark to us today. If your journey aligns with ours, we'll get in touch soon!