Job Title - Payroll University Trainee – Global Payroll & Automation
Management Level : 13 – Strategic Programs New Associate
Location: Mumbai
Must have skills: Strong Communications & Analytical Skills, Microsoft Office
Good to have skills: Technical Skills ( PowerBI or data visualization tools, Basic Python)
Experience: 0 – 6 Months
Educational Qualification: Bachelor’s degree in Computer Science, IT, Commerce, Finance, HR, Business Administration, Engineering, or related field
Job Summary:
The Payroll University Trainee program is designed to build future-ready talent with foundational expertise in Global Payroll processes combined with emerging AI and Automation capabilities.
This role provides fresh graduates with structured learning and hands-on experience across payroll operations, data analytics, and digital transformation initiatives, preparing them for industry-leading payroll delivery and automation roles.
Roles & Responsibilities:
Payroll Operations
-
Support end-to-end payroll processing activities including data inputs, validations, and outputs
-
Gain understanding of payroll components such as earnings, deductions, taxes, and statutory compliances
-
Assist in payroll audits, reconciliations, and data validations
-
Adhere to internal controls, compliance, and data privacy standards
Data & Reporting
-
Analyze payroll data using Excel and reporting tools such as Power BI
-
Support preparation of dashboards, reports, and operational insights
-
Identify discrepancies and trends in payroll data
AI & Automation
-
Develop basic skills in Python, Power Automate, and automation tools
-
Support automation initiatives for payroll process improvements
-
Gain exposure to APIs and system integrations
-
Learn and contribute to AI-driven payroll use cases including Agentic AI
Continuous Improvement
-
Participate in process improvement and transformation initiatives
-
Identify opportunities for automation and efficiency improvement
-
Support documentation of SOPs, process maps, and knowledge assets
Collaboration & Learning
-
Work with cross-functional teams including payroll, analytics, and technology teams
-
Participate in structured Payroll University learning programs
-
Demonstrate continuous learning mindset and adaptability
Professional & Technical Skills:
Preferred Skills -
Basic understanding of payroll or finance processes
-
Strong analytical and problem-solving skills
-
Attention to detail and accuracy
-
Good communication and teamwork skills
Technical Skills (Preferred / Trainable)
Basic knowledge of:
-
Microsoft Excel
-
Power BI or data visualization tools
-
Python (basic level)
-
Awareness of automation tools such as Power Automate
-
Basic understanding of APIs and AI concepts (nice-to-have)
Additional Information:
The ideal candidate will possess a strong learning agility and adaptability. Candidate should have an interest in digital technologies and automation. Candidate should have an ability to work in a fast-paced environment. Candidate with a strong educational background in preferably in computer science or a related field would be ideal. - This position is based at our Mumbai office(MDC2B).
Job Title - Payroll University Trainee – Global Payroll & Automation
Management Level : 13 – Strategic Programs New Associate
Location: Mumbai
Must have skills: Strong Communications & Analytical Skills, Microsoft Office
Good to have skills: Technical Skills ( PowerBI or data visualization tools, Basic Python)
Experience: 0 – 6 Months
Educational Qualification: Bachelor’s degree in Computer Science, IT, Commerce, Finance, HR, Business Administration, Engineering, or related field
Job Summary:
The Payroll University Trainee program is designed to build future-ready talent with foundational expertise in Global Payroll processes combined with emerging AI and Automation capabilities.
This role provides fresh graduates with structured learning and hands-on experience across payroll operations, data analytics, and digital transformation initiatives, preparing them for industry-leading payroll delivery and automation roles.
Roles & Responsibilities:
Payroll Operations
-
Support end-to-end payroll processing activities including data inputs, validations, and outputs
-
Gain understanding of payroll components such as earnings, deductions, taxes, and statutory compliances
-
Assist in payroll audits, reconciliations, and data validations
-
Adhere to internal controls, compliance, and data privacy standards
Data & Reporting
-
Analyze payroll data using Excel and reporting tools such as Power BI
-
Support preparation of dashboards, reports, and operational insights
-
Identify discrepancies and trends in payroll data
AI & Automation
-
Develop basic skills in Python, Power Automate, and automation tools
-
Support automation initiatives for payroll process improvements
-
Gain exposure to APIs and system integrations
-
Learn and contribute to AI-driven payroll use cases including Agentic AI
Continuous Improvement
-
Participate in process improvement and transformation initiatives
-
Identify opportunities for automation and efficiency improvement
-
Support documentation of SOPs, process maps, and knowledge assets
Collaboration & Learning
-
Work with cross-functional teams including payroll, analytics, and technology teams
-
Participate in structured Payroll University learning programs
-
Demonstrate continuous learning mindset and adaptability
Professional & Technical Skills:
Preferred Skills -
Basic understanding of payroll or finance processes
-
Strong analytical and problem-solving skills
-
Attention to detail and accuracy
-
Good communication and teamwork skills
Technical Skills (Preferred / Trainable)
Basic knowledge of:
-
Microsoft Excel
-
Power BI or data visualization tools
-
Python (basic level)
-
Awareness of automation tools such as Power Automate
-
Basic understanding of APIs and AI concepts (nice-to-have)
Additional Information:
The ideal candidate will possess a strong learning agility and adaptability. Candidate should have an interest in digital technologies and automation. Candidate should have an ability to work in a fast-paced environment. Candidate with a strong educational background in preferably in computer science or a related field would be ideal. - This position is based at our Mumbai office(MDC2B).
