HR Data Analyst

Overview

The HR Data Analyst will be in charge of managing and evaluating HR data, making sure that SAP systems are updated accurately, and assisting HR procedures with data-driven insights to maximize operational effectiveness and decision-making.

Responsibilities

• Create and manage HR reports and dashboards to monitor the Region's key performance indicators (KPIs). • Work together with the talent manager to comprehend data requirements and offer analytical assistance. • Assure accuracy and data integrity in HR reports and systems. • Help new personnel get set up in SAP and disconnect departing employees. • Help keep correct records of employee compensation information and make sure that company regulations are followed. • Respond to questions from staff members on pay, perks, and incentives. • Support the budgeting process by helping to design and prepare the region's budget. • Work together with the IT and HR departments to diagnose and fix problems relating to HR SAP. • Utilize SAP technologies to create dashboards and reports that monitor important HR data. • Aid in the creation of budget analysis templates.

Requirements

• A bachelor's degree in business administration, human resources, or a similar discipline is required. • It is ideal if you have at least three (3) years of expertise in payroll, compensation, or HR data analysis. • Knowledge of SAP HR modules, particularly Success Factors, is quite beneficial. • The capacity to manage sensitive data and preserve confidentiality. • Extremely well-organized and detail-oriented, capable of handling several responsibilities in a hectic setting. • Strong communication abilities with a variety of stakeholders from various backgrounds • Proactive somebody having the capacity to form bonds with others and work well both alone and in a group. • A positive outlook on work and an openness to learning. • Outstanding analytical, time-management, and problem-solving abilities. • Ability to analyses data using the Microsoft Office Suite, particularly Excel.