Data Analytics Intern: Dashboards, SQL & ML Prototypes

Aham Capital; Kuala Lumpur; On-site; MYR 17,000 - 28,000; Part time

Job summary

Aham Capital in Kuala Lumpur, Malaysia, invites a data analytics-oriented intern to assist in data collection, cleansing and preparation from diverse sources. You will help develop dashboards and reports using Tableau and Excel, and perform exploratory analysis to identify trends and insights.

You will contribute to building data models, predictive analytics, and machine learning prototypes under guidance, while supporting SQL queries and Python scripts for automated workflows and documentation.

Qualifications

• Pursuing Bachelor's degree in a related field.
• Strong interest in data analytics and BI decision making.
• Basic proficiency in Excel, SQL, and Python.
• Familiarity with Tableau, Power BI or similar tools is a plus.
• Good analytical, problem-solving, and communication skills.

Responsibilities

• Assist in data collection, cleansing and validation from multiple sources.
• Support dashboards and reports using Tableau and Excel.
• Conduct exploratory data analysis to identify trends.
• Assist in developing data models, analytics and ML prototypes under guidance.
• Prepare SQL queries and Python scripts for data processing and automation.
• Document SOPs, data dictionaries and project records.
• Ensure data governance and confidentiality compliance.
• Collaborate with the team to gather requirements and share findings.

Skills

Excel

SQL

Python

Data analysis

Communication

Education

Pursuing Bachelor's degree

Tools

Tableau

Power BI

SQL

Job description

Aham Capital in Kuala Lumpur, Malaysia, invites a data analytics-oriented intern to assist in data collection, cleansing and preparation from diverse sources. You will help develop dashboards and reports using Tableau and Excel, and perform exploratory analysis to identify trends and insights.

You will contribute to building data models, predictive analytics, and machine learning prototypes under guidance, while supporting SQL queries and Python scripts for automated workflows and documentation.