About our client:

HR Plus is a business of human data – with workforce data analytics service to enhance employee’s experience.

Our vision is to build a better workplace in the future of work.

Our purpose is to make a positive difference in employee lives. We're committed to create a better workplace through technology that makes peoples' lives better, more productive and more meaningful.

Our SaaS platform is designed to help businesses to improve staff engagement level and collect HR critical data through constructive feedback cycle and benefit incentive redemption. The data pipelines we built in our product help gather missing information about employees' individual profiles and reveal a holistic picture of their organization where traditional HR lacks the proper means to access.

Benefits:

• Public Holiday
• Flexible working hour
• Competitive package
• Discretionary bonus
• Health care coverage
• Growth potential regionally
• Company-wide outings and retreats

Responsibilities:

• Turn complex data into insightsand actionable recommendations, delivering clear business value and impact.
• Utilize statistical methods, data visualization techniques, and machine learning algorithms to solve complex problems.
• Prepare final analysis reportsfor the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
• Generate and present monthly performance and statistical reports related to service delivery and operation.

Requirements:

• A bachelor's degree, preferably with combined studies in Information Systems and Finance, or related business and STEM fields (Computer Science, Statistics, etc)
• Minimum 1 years of relevant experience ideally in professional services, law, management consultancy, insurance or financial space.
• Experience in applying Visualization, Statistical Inference and other Data Mining techniques to a variety of data
• Excellent command of English and strong communicator.
• Pursuit of excellence, always going the extra mile to level up the quality of insights and deliverables.