Team Member HR Operations & People Analytics

Haldia Petrochemicals (HPL); Kolkata District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Haldia Petrochemicals (HPL) seeks a Team Member: HR Operations & People Analytics to drive end-to-end HR operations and transform data into actionable insights. The role focuses on leveraging SAP SuccessFactors, HR data and AI capabilities to enhance processes, governance and employee experience.

You will develop automated dashboards, monitor data quality, and partner with IT for system enhancements, while ensuring compliance with policies and SLAs.

Qualifications

• Graduate or postgraduate in HR, Business Administration, Analytics, Technology or a related discipline.
• MBA/PGDM in HR preferred.
• 6-12 years of relevant experience in HR Operations, HRIS, HR Analytics, People Analytics or Digital HR.
• Experience in a large, process-driven organisation would be preferred.
• Experience with SAP SuccessFactors is highly desirable.

Responsibilities

• Manage and monitor end-to-end employee lifecycle processes including onboarding, employee movements, probation, confirmation, transfers, promotions, separation and other employee-related transactions.
• Ensure timely, accurate and consistent execution of HR processes in accordance with defined policies, SOPs and service-level agreements.
• Identify process gaps, recurring issues and opportunities for simplification and standardisation.
• Drive continuous improvement in HR processes with a focus on improving employee experience and reducing turnaround time.
• Establish effective process controls and exception-monitoring mechanisms.
• Act as the HR process owner/key user for relevant SAP SuccessFactors modules and workflows.
• Ensure optimum utilisation of SuccessFactors capabilities across employee lifecycle processes.
• Monitor data accuracy, workflow completion and transaction discipline within the HRMS.
• Identify opportunities for automation, workflow optimisation and system enhancements.
• Partner with internal IT teams for system enhancements, integrations, issue resolution and implementation of new AI technology solutions.
• Support adoption of emerging digital HR solutions to enhance operational effectiveness.
• Develop and maintain comprehensive HR dashboards and analytics covering workforce, employee lifecycle, attrition, recruitment, performance, attendance, talent and HR operations.

Skills

HR operations

Employee lifecycle management

Data analytics

AI in HR

Education

Graduate/Postgraduate in HR, Business Administration, Analytics, Technology

MBA/PGDM in HR preferred

Tools

SAP SuccessFactors

HRMS

Generative AI

Job description

Job Title: Team Member: HR Operations & People Analytics

Purpose

To manage and continuously enhance end-to-end HR Operations and employee lifecycle processes, while driving the effective use of HR technology, data analytics and digital solutions to improve HR effectiveness, process efficiency and employee experience.

The role will be responsible for leveraging SAP SuccessFactors, HR data, analytics and emerging digital/AI capabilities to provide actionable insights to HR Operations Team, strengthen process governance and progressively transform HR Operations from a transactional function into a data-driven and technology-enabled function.

Key Deliverables

The incumbent will be expected to contribute to the following outcomes:

• Increased digitisation and automation of HR processes.
• Improved utilisation of SuccessFactors and other HR technology platforms.
• Reduction in HR transaction turnaround time and manual intervention.
• Improved HR data quality and governance.
• Development of automated HR dashboards and analytics.
• Introduction of predictive/early-warning people analytics.
• Improved visibility of workforce and talent risks.
• Implementation of meaningful AI/digital use cases in HR.
• Continuous improvement in employee experience and HR service delivery.

Key Responsibilities

1. HR Operations & Employee Lifecycle Management

• Manage and monitor end-to-end employee lifecycle processes including onboarding, employee movements, probation, confirmation, transfers, promotions, separation and other employee-related transactions.
• Ensure timely, accurate and consistent execution of HR processes in accordance with defined policies, SOPs and service-level agreements.
• Identify process gaps, recurring issues and opportunities for simplification and standardisation.
• Drive continuous improvement in HR processes with a focus on improving employee experience and reducing turnaround time.
• Establish effective process controls and exception-monitoring mechanisms.

2. SAP SuccessFactors & HR Technology

• Act as the HR process owner/key user for relevant SAP SuccessFactors modules and workflows.
• Ensure optimum utilisation of SuccessFactors capabilities across employee lifecycle processes.
• Monitor data accuracy, workflow completion and transaction discipline within the HRMS.
• Identify opportunities for automation, workflow optimisation and system enhancements.
• Partner with internal IT teams for system enhancements, integrations, issue resolution and implementation of new AI technology solutions.
• Support adoption of emerging digital HR solutions to enhance operational effectiveness.

3. HR Analytics & Management Information

• Develop and maintain comprehensive HR dashboards and analytics covering workforce, employee lifecycle, attrition, recruitment, performance, attendance, talent and HR operations.
• Collaborate with IT to develop automated and interactive dashboards using appropriate analytics and visualisation tools.
• Move HR reporting from periodic MIS towards automated, near-real-time and decision-oriented analytics with support from Agentic AI platforms.
• Identify trends, patterns, anomalies and emerging workforce issues through systematic analysis of HR data.

4. Workforce & People Analytics

Develop analytical frameworks to provide insights into key workforce areas, including:

• Headcount and workforce trends
• Workforce composition and demographics
• Attrition and retention
• Internal mobility
• Employee tenure and ageing
• Absenteeism and attendance
• Performance trends

5. Predictive & Future-focused HR Analytics

• Identify correlations between employee performance, tenure, career movement, engagement and retention.
• Support HR Operations Team in forecasting and scenario analysis for future manpower requirements.
• Develop analytics that enable HR to move from reactive reporting to proactive intervention.

6. HR Process Excellence & Automation

• Identify manual, repetitive and high-volume HR processes suitable for automation.
• Lead or support digitisation and automation of HR workflows, trackers, reports and employee communications.
• Conduct process reviews and identify opportunities for simplification, standardisation and elimination of non-value-adding activities.
• Establish measurable outcomes for process improvements in terms of TAT, accuracy, cost, employee experience and manual intervention.
• Maintain and periodically review HR SOPs, process maps and control mechanisms.

7. Digital HR & AI Enablement

• Identify and evaluate opportunities for applying Generative AI, automation and Agentic AI within HR Operations.
• Support implementation of AI-enabled HR use cases such as intelligent reporting, employee query management, workflow monitoring, data-quality checks, document generation and predictive alerts.
• Work with HR and IT stakeholders to evaluate the business value, feasibility and risks associated with emerging HR technologies.
• Ensure appropriate human oversight, governance, confidentiality and controls while deploying AI-enabled HR solutions.
• Build awareness and adoption of digital tools within the HR function.

8. HR Performance & Talent Analytics

Support analytical reporting around:

• Performance and goal achievement
• KRA completion
• Performance-rating trends
• High performers and critical talent
• Internal mobility
• Promotions and career progression
• Management trainee / early-career talent

Qualifications & Experience

Education

• Graduate/Postgraduate in HR, Business Administration, Analytics, Technology or a related discipline.
• MBA/PGDM in HR preferred.

Experience

• 6-12 years of relevant experience in HR Operations, HRIS, HR Analytics, People Analytics or Digital HR.
• Experience in a large, process-driven organisation would be preferred.
• Experience with SAP SuccessFactors is highly desirable.

Functional & Technical Competencies

• HR Operations and employee lifecycle management
• SAP SuccessFactors / HRMS
• HR dashboards and data visualisation
• HR metrics and people analytics
• Process mapping and process improvement
• Generative AI and emerging HR technology