HR Analytics Intern: Data, Dashboards & Insights

Prudential Services Asia; Kuala Lumpur; On-site; MYR 20,000 - 27,000; Full time

Job summary

Prudential Services Asia invites applications for an Intern, HR Analytics at our Kuala Lumpur head office. The role focuses on preparing data extracts and developing leadership-ready analyses, while supporting senior analysts in analysis preparation.

You will learn HR analytics concepts, handle Workday and enterprise HR data, and build reusable assets to improve team efficiency. This is a full-time on-site internship contributing to data quality and governance initiatives.

Qualifications

Responsibilities

• Prepare data extracts and tables for ad-hoc analysis and leadership requests
• Support slide content with charts, tables, and commentary
• Assist senior analysts in analysis preparation
• Perform data reconciliation between Workday, Finance, and downstream reports
• Validate metric outputs against agreed definitions and benchmarks
• Identify data issues and flag inconsistencies for remediation
• Document report logic, metric definitions, and data sources
• Maintain data dictionaries and reporting catalogues
• Support governance artefacts (metric naming, ownership records)
• Assist with UAT for reporting changes, or new dashboards
• Support backlog clean-up (retiring redundant reports, tidying datasets)
• Learn core People Analytics concepts, HR metrics, and Prudential data standards
• Gain hands-on exposure to Workday, Power BI, and enterprise HR data
• Build reusable assets that improve team efficiency beyond the internship

Job description

Prudential Services Asia invites applications for an Intern, HR Analytics at our Kuala Lumpur head office. The role focuses on preparing data extracts and developing leadership-ready analyses, while supporting senior analysts in analysis preparation.

You will learn HR analytics concepts, handle Workday and enterprise HR data, and build reusable assets to improve team efficiency. This is a full-time on-site internship contributing to data quality and governance initiatives.