HR Automation & Analytics Specialist (6-Month)

PERSOL; Singapore; On-site; SGD 33,000 - 50,000; Full time

Job summary

PERSOL in Singapore’s One North is seeking a six-month contract role to support Group HR in recruitment lifecycle initiatives, with exposure to HR analytics and automation for recruitment, cluster performance management, and promotion activities.

You will work with data, build practical tools, and translate complex information into clean, user-friendly outputs while collaborating with entity colleagues across the healthcare cluster.

Qualifications

• Diploma graduates in HR, Data Science, or related disciplines.
• Experience delivering automation projects using Power Automate.
• Strong MS Office skills and data handling abilities.
• Ability to translate complex data into clean, user-friendly outputs.

Responsibilities

• Enhancements to SRIRACHA and OHMO Power Automate Processes
• HR Process & Automation Exploration (SRIRACHA looks at hiring exiting Senior Residents from MOHH to join healthcare as Specialists while OHMO looks at hiring of all other specialist hires)
• Support the enhancements and build of an efficient process flow to onboard specialists
• Consolidate and clean HR data extracted from existing HR systems into a structured Excel master file
• Identify recurring manual processes within the Department for enhancements and propose Excel- or VBA-based automation ideas to improve efficiency

Skills

Power Automate

Advanced Excel

PivotTables

VBA

Co-pilot AI tools

Education

Diploma in HR or Data Science

Tools

Microsoft Office

Power Automate

Job description

PERSOL in Singapore’s One North is seeking a six-month contract role to support Group HR in recruitment lifecycle initiatives, with exposure to HR analytics and automation for recruitment, cluster performance management, and promotion activities.

You will work with data, build practical tools, and translate complex information into clean, user-friendly outputs while collaborating with entity colleagues across the healthcare cluster.