▷ 3 Days Left: Workforce/Labour Optimization Analyst
2 weeks ago
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.
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