HR Analytics Senior Specialist

Position Overview
The HR Analytics Senior Specialist is a critical role responsible for transforming raw HR and payroll data into actionable workforce intelligence. This position will design and maintain analytical frameworks that illuminate compensation structures, attrition dynamics, training effectiveness, and recruitment efficiency -specifically within garment and fabric manufacturing environments, where worker income composition, turnover patterns, and labor cost management are highly complex.
The ideal candidate combines strong analytical capability with deep understanding of factory HR operations, Vietnamese labor regulations, and the unique workforce challenges of the textile manufacturing sector.
Key Responsibilities
1. Compensation & Income Structure Analysis
• Analyze total compensation composition for factory workers across garment and fabric facilities,
including:
+ Base salary (lương cơ bản) as % of total income
+ Overtime pay (OT) as % of total income - track OT hours, OT ratios, and compliance with BLLĐ 2019 OT caps
+ Bonus (thưởng năng suất, thưởng chuyên cần, thưởng KPIs) as % of total income
+ Allowances (phụ cấp) - meal, transport, housing, toxic/hazardous, shift allowances - as % of total income
+ Piece-rate/productivity-based pay (lương sản phẩm) decomposition where applicable
• Track month-over-month and year-over-year changes in income composition by factory, production
line, and job family
• Benchmark compensation structure against industry peers - competing garment/fabric factories.
• Flag outlier patterns: workers earning disproportionately high OT (potential compliance risk),
unusually low base pay ratios, or allowance inconsistencies
• Provide income analytics segmented by gender, tenure, skill level, shift type, and department
2. Attrition & Turnover Analytics
• Track and report turnover rates across all stages of the employee lifecycle:
• Probationary period attrition rate (tỷ lệ nghỉ việc trong thử việc) - typically 60 days
• Pre-training dropout rate (nghỉ trước đào tạo hoàn thành)
• Post-training attrition rate (nghỉ sau khi hoàn thành đào tạo) - 30/60/90 days post-training
• Short-tenure attrition: within 6 months and within 12 months of hire
• Mid-tenure stability: 1-3 year retention rates
• Long-tenure retention: employees with 3+ years
• Identify attrition drivers through exit interview data analysis, correlating resignation timing with
payroll events, team structure, shift patterns, and seasonal production cycles
• Build cohort survival analysis to visualize attrition risk curves by hire batch, factory location, and job category
• Develop predictive attrition models to flag high-risk employees before they resign
• Report attrition cost - recruitment, onboarding, lost productivity - per role type and per factory
3. Recruitment vs. Attrition Equilibrium Analysis
• Calculate and visualize net headcount movement: hiring rate vs. attrition rate by month, quarter,
and year
• Determine whether hiring volume sufficiently replaces workforce loss:
• Is the hiring rate > attrition rate? (Workforce growing)
• Is the hiring rate < attrition rate? (Workforce shrinking - potential production risk)
• Equilibrium point: what hiring pace is needed to maintain stable headcount?
• Track time-to-fill (TTF) and time-to-productivity (TTP) for critical factory roles
• Analyze recruitment funnel efficiency: applications → interviews → offers → joins → passes
probation
• Identify recruitment bottlenecks by role, facility, and hiring season
• Provide weekly/monthly dashboards showing live headcount gap vs. production headcount
requirement
4. Training Coverage & Effectiveness Analytics
• Track training participation rates by skill category, factory, department, and workforce segment:
• Technical/operational skills (machine operation, quality control, safety procedures)
• Compliance training (labor law, fire safety, chemical handling, PPE)
• Soft skills and leadership development
• Cross-training and multi-skill certification rates
• Measure training completion rates vs. targets, and identify gaps in training coverage
• Analyze post-training outcomes: production quality improvement, safety incident reduction, and
retention uplift for trained vs. untrained cohorts
• Calculate training ROI: cost per training hour, cost per certified worker, productivity gain from
trained employees
• Maintain a skills matrix dashboard across the workforce to visualize capability gaps and succession readiness
5. Broader HR Analytics & Workforce Intelligence
• Headcount planning: model future headcount scenarios based on production targets, attrition
trends, and hiring capacity
• Absenteeism analytics: track absence rates (paid/unpaid), patterns by shift and department, and
impact on production output
• Overtime compliance analytics: monitor cumulative OT hours per employee against legal limits (40
hours/month, 200-300 hours/year) and flag compliance risks
• Workforce diversity analytics: gender balance by department, shift, and level; foreign worker ratios;
age distribution
• Productivity analytics: output per worker, output per production line, correlation between
workforce metrics and production KPIs
• Employee relations analytics: grievance frequency, incident reports, disciplinary actions - trends
and hotspots
• HR cost analytics: total HR spend as % of revenue/payroll; cost per hire; cost per training hour; L&D spend allocation
• Build and maintain an executive HR dashboard updated weekly/monthly for HRM/CEO reporting