JOB PURPOSE: The ideal candidate will be responsible for providing data-driven insights and recommendations to optimize labor efficiency and cost-effectiveness. This role will involve detailed analysis of headcount versus volume metrics, productivity, overtime, absenteeism, and shift patterns. The successful candidate will play a key role in ensuring the right workforce levels are in place to meet operational demands while improving efficiency. DUTIES & RESPONSIBILITIES: Labor Planning & Forecasting: Analyse workforce requirements by evaluating headcount against logistics volume forecasts and operational needs. Ensure alignment between labor supply and business demand. Data Analysis: Collect, analyse, and interpret labor data, including productivity stats, absenteeism rates, overtime, and labor costs. Identify trends and anomalies, providing actionable insights to improve performance. Trend Identification: Use historical and real-time data to recognize patterns in workforce performance, including productivity trends, shift efficiency, and attendance issues. Propose proactive solutions to address inefficiencies. Shift Pattern Management: Analyse and recommend shift patterns that maximize productivity while balancing labor costs. Ensure optimal coverage for peak operational periods while minimizing idle time or overtime. Cost Efficiency Analysis: Evaluate labor costs, proposing strategies to optimize workforce allocation and reduce unnecessary expenses. Provide recommendations for cost-saving measures in alignment with operational goals. Reporting: Generate and maintain accurate reports on labor efficiency, cost-effectiveness, and performance metrics for stakeholders. Provide real-time insights to support decision-making processes. Collaboration: Work closely with operations, HR, and finance teams to ensure the effective implementation of labor strategies and optimize workforce allocation across the business. JOB RELATED REQUIREMENTS: Minimum: Bachelors degree in Industrial Engineering, Business, Economics, Supply Chain, or a related field. 2 years proven experience in workforce planning, data analysis, or a similar role within logistics or a related industry. Strong analytical skills with the ability to interpret complex datasets and provide actionable recommendations. Proficiency in data analysis tools (e.g., Excel, Power BI, or similar platforms). Excellent communication and collaboration skills to work across departments. Solutions-oriented mindset with the ability to propose effective strategies to improve labor efficiency and reduce costs. Knowledge of shift patterns and logistics operations is preferred PERSONALITY AND ATTRIBUTES: Problem-Solving: Able to analyse complex data and develop solutions that improve workforce efficiency. Critical Thinking: Constantly evaluating the effectiveness of workforce strategies and making data-driven decisions. Attention to Detail: Precision in managing data, identifying patterns, and ensuring accuracy. Data Analysis Tools: Proficient in using workforce management software (e.g., Excel, SQL, Tableau) and human capital management systems (e.g., SAP, Workday). Forecasting: Ability to predict labor needs based on historical data, trends, and business requirements. Optimization Techniques: Knowledge of lean methodologies, automation, and process improvement.