HRIS and HR Analysis Consultant

About the Company

Established in 2018, OPay is a leading fintech enterprise dedicated to developing innovative AI and big data-powered financial technology solutions, including payments, digital wallets, credit, and various other financial services aimed at emerging markets across Africa and Asia. With five years of focused product development, OPay has secured a position as a top fintech unicorn in these markets, emphasizing social impact by promoting inclusive finance through technology and innovation.

Role Responsibilities

• Design and develop core modules of the Human Resource Information System (HRIS) from the ground up, aligning with the global HR Center of Excellence (COE) framework.
• Manage and process data by collecting, cleaning, and validating information such as performance achievements and distribution data for dashboard creation.
• Perform detailed data analyses, build visual dashboards, identify correlations within datasets, and provide initial analytical insights.
• Coordinate and collaborate with stakeholders across various countries and business units to understand and consolidate diverse requirements effectively.
• Drive project progress proactively by coordinating resources, managing stakeholder expectations amidst uncertainties, and ensuring the timely completion of project objectives.
• Engage in global HR core initiatives including system optimization and performance management projects.

Candidate Requirements

• Three to five years of experience in data analysis, data management, or related human resources fields.
• Proven track record in developing or contributing to building core HRIS modules or HRIS functions from scratch.
• Familiarity with Lark (Feishu) or comparable in-house collaboration and communication platforms.
• Excellent cross-regional and cross-business unit communication skills.
• Strong ability to analyze data with proficiency in Excel; knowledge of SQL, Tableau, or Power BI is advantageous.
• Detail-oriented, responsible, and passionate about data analysis work.
• Demonstrated capability to drive results by being proactive and overcoming obstacles effectively.
• Language proficiency: professional level in English and Chinese.