HR Data Analyst

We are seeking a data-driven HR Data Analyst to join our Overseas HR Digitalization team. You will be the analytical engine behind our global HR systems — measuring platform adoption, identifying usage gaps, and translating data into actionable improvement recommendations. If you have a passion for building data foundations that power both business decisions and AI-driven HR solutions, this role is for you.

Key Responsibilities:

● HR Systems Usage Analytics — Monitor and analyze utilization patterns across our HR system landscape (such as core workforce, performance, training, overseas assignment, etc). Build dashboards and reports that surface adoption rates, feature-level engagement, and user behavior trends.

● Data-Driven Business Insights — Partner with HRBPs and business stakeholders to translate HR questions into data problems. Deliver recurring analytics outputs (weekly/monthly/quarterly) covering headcount, turnover, payroll accuracy, training completion, and performance distribution across overseas entities.

● Improvement Identification — Proactively identify system bottlenecks, data quality issues, and process inefficiencies through quantitative analysis. Prioritize improvement opportunities by business impact and feasibility and track remediation progress.

● AI Data Foundation — Contribute to the design and maintenance of structured HR data assets that serve as the backbone for AI-powered applications (e.g., HR policy RAG chatbot, predictive analytics). Ensure data governance, labeling quality, and pipeline readiness for model training and retrieval augmentation.

● Cross-Entity Data Governance — Standardize HR data definitions and metrics across multiple overseas subsidiaries. Build and maintain a unified HR data dictionary and KPI framework that enables apples-to-apples comparison across regions.

● Stakeholder Communication — Present findings to both technical and non-technical audiences in a clear, compelling manner. Facilitate data-driven decision-making culture within the HR function.

Requirements:

● Bachelor's degree in Statistics, Mathematics, Computer Science, Information Management, Human Resources, or related fields.

● 3+ years of experience in HR data analysis, HRIS analytics, or People Analytics roles.

● Proficiency in SQL and at least one analytical programming language (Python or R).

● Hands-on experience with BI/visualization tools (Power BI, Tableau, FineBI, or similar).

● Solid understanding of HR functional domains — recruitment, payroll, performance, training, and organizational management.

● Bilingual proficiency: fluent in both English and Chinese (written and spoken), capable of producing reports and presenting in either language.