Talent Acquisition Trainee — Data, AI & Projects

Menara Maxis; Kuala Lumpur; On-site; MYR 39,000 - 73,000; Full time

Job summary

Menara Maxis invites graduates to join the Protégé Trainee programme in Talent Acquisition Projects, Data & AI. Over 12 months you will gain hands-on experience in recruitment analytics, dashboards, and AI-driven initiatives while supporting hiring stakeholders.

You will collaborate with Talent Acquisition, HR, Data & Analytics teams, learn process improvements, and help build data-driven recruitment capabilities through training and on-the-job assignments starting in November.

Qualifications

• Bachelor's degree in a related field.
• 0-2 years of experience in Talent Acquisition or HR operations.
• Fresh graduates encouraged to apply.
• Proficiency in Microsoft Excel, PowerPoint, and data reporting.
• Exposure to Power BI, Tableau, SQL, AI tools or data visualization is a plus.
• Strong analytical and problem-solving skills with good communication.

Responsibilities

• Support Talent Acquisition projects and operations.
• Prepare and maintain recruitment reports, dashboards, and KPIs.
• Analyze hiring data to identify trends, risks, and opportunities.
• Assist in adoption of AI-powered recruitment tools and technologies.
• Support sourcing, screening and candidate pipeline tracking.
• Coordinate interview logistics and recruitment activities.

Skills

Analytical thinking

Communication skills

Attention to detail

Data reporting

Problem solving

Education

Bachelor's Degree in Human Resources, Business Administration, Data Analytics, Information Systems, Psychology, or related disciplines

Tools

Power BI

Tableau

SQL

AI tools

Excel

Job description

Menara Maxis invites graduates to join the Protégé Trainee programme in Talent Acquisition Projects, Data & AI. Over 12 months you will gain hands-on experience in recruitment analytics, dashboards, and AI-driven initiatives while supporting hiring stakeholders.

You will collaborate with Talent Acquisition, HR, Data & Analytics teams, learn process improvements, and help build data-driven recruitment capabilities through training and on-the-job assignments starting in November.