B2C Marketing Analytics Intern: Insights & Campaigns

Petronas Ventures; Kuala Lumpur; On-site; MYR 11,000 - 22,000; Part time

Job summary

Petronas Ventures is seeking a Marketing Analytics Intern to support campaign targeting, customer segmentation, and data-driven recommendations. You will work with MARCOM and Analytics teams to collect data, build segments, and contribute to ongoing marketing initiatives.

You'll learn practical marketing analytics, how to translate data into actionable insights, and gain exposure to B2C product operations within the CAD Division, using Excel, SQL, Python, and Power BI.

Qualifications

• Currently pursuing a degree in Business Analytics, Data Science, Statistics, Marketing, Economics, or related fields.
• Strong analytical and problem-solving skills.
• Basic knowledge of data analysis tools (Excel, SQL, Python, Power BI) is an advantage.
• Good communication skills and ability to present insights clearly.

Responsibilities

• Campaign targeting, segmentation and data-driven recommendations.
• Track customer performance metrics and identify insights to optimize marketing strategies.
• Support post-campaign analysis, ROI assessment, and reporting for stakeholders.
• Collaborate with MARCOM, Data and product teams on campaign planning and execution.
• Prepare regular analytics reports and ensure reporting accuracy.

Skills

Analytical thinking

Problem solving

Communication skills

Data visualization (Power BI)

Education

Business Analytics / Data Science / Statistics / Marketing / Economics (ongoing degree)

Tools

Excel

SQL

Python

Power BI

Job description

Petronas Ventures is seeking a Marketing Analytics Intern to support campaign targeting, customer segmentation, and data-driven recommendations. You will work with MARCOM and Analytics teams to collect data, build segments, and contribute to ongoing marketing initiatives.

You'll learn practical marketing analytics, how to translate data into actionable insights, and gain exposure to B2C product operations within the CAD Division, using Excel, SQL, Python, and Power BI.