Data Intern

About EPOS

Backed by Ant International (a global leader in digital payments, digitisation, and financial technology solutions), EPOS is a leading Point-of-Sale (POS) digital solutions provider headquartered in Singapore. Supporting and empowering Every Point Of Success, we help SMEs grow digitally with confidence through our innovative POS solutions and business tools.

With a growing presence across Southeast Asia, we are looking for passionate individuals to join our diverse and driven team in Malaysia. Be part of our exciting journey as we continue expanding and creating meaningful, impactful changes for businesses across the region.

We are looking for a Data Intern to join our team and support data-related initiatives across the business. This role is a great opportunity to gain hands-on experience in data analysis, reporting, data management, and business insights while working with real-world datasets.

You will work closely with different teams to help transform data into meaningful insights that support business and operational decisions.

Key Responsibilities

• Assist in collecting, cleaning, organising, and maintaining business data.
• Support the preparation of regular reports, dashboards, and data analysis.
• Analyse data to identify trends, patterns, and opportunities for improvement.
• Assist in validating data accuracy and resolving data inconsistencies.
• Support ad-hoc data requests and analysis from different business teams.
• Work with stakeholders to understand data requirements and reporting needs.
• Assist in improving existing reporting processes and data workflows.
• Support data-related projects and other initiatives assigned by the team.

• Currently pursuing a Bachelor’s Degree in Data Analytics, Data Science, Statistics, Computer Science, Economics, Business Analytics, or a related field.
• Basic understanding of data analysis and data visualisation.
• Familiarity with Excel / Google Sheets is required.
• Knowledge of SQL, Python, R, Tableau, Power BI, or other data tools will be an added advantage.
• Strong analytical and problem-solving skills.
• Good attention to detail and ability to work with numbers and large datasets.
• Good communication and teamwork skills.
• Willingness to learn and take ownership of assigned tasks.

Hands-on experience working with real-world business data and analytics.

Exposure to data reporting, visualisation, and business intelligence.

Opportunity to contribute to data-driven projects with real business impact.

Experience working with cross-functional teams and business stakeholders.

Opportunity to develop practical skills in data analysis and problem-solving.