Operations Management Executive – Data Analysis

Job Summary

Analyse quality and cost data across the end-to-end operations network. Monitor and analyse data from pickup and delivery, sorting and transfers, transport, and service station operations to assess service quality, resource efficiency, and costs and identify exceptions and improvement opportunities.

Recommend operational improvements based on data, drive progress against key metrics, and help develop, refine, and oversee compliance with standard operating procedures (SOPs) to improve efficiency, service quality, and cost control.

Key Responsibilities

Operational Quality Analysis

• Monitor, organise, and analyse quality data across pickup and delivery, sorting and transfers, and transport.
• Track operational KPIs such as on-time pickup and delivery, successful delivery, shipment exception rates, and shipment backlog rates.
• Assess KPI performance by service station and operational stage to identify unusual fluctuations, bottlenecks, and potential risks.
• Investigate why KPIs fall short of target, recommend corrective actions, and follow up on implementation and results.
• Produce regular reports on operational quality, KPI performance, and corrective actions for exceptions.

Operational Cost Analysis

• Collect, organise, and analyse operating costs across the network, including labour, fleet, transport, and outsourcing costs.
• Assess resource deployment and usage by service station and operational stage, including staff productivity, fleet utilisation, and the suitability of resource allocations.

• Track operating cost per shipment, output per employee, vehicle operating costs, and other key cost metrics.
• Compare actual operating costs with budgets, historical data, and targets to identify cost anomalies and savings opportunities.

• Assess costs and benefits in light of changes in shipment volumes and resource inputs to inform staffing, fleet deployment, and operating model decisions.
• Produce regular reports on operating costs, resource utilisation, and opportunities to reduce costs and improve efficiency.

SOP Development and Improvement

• Use quality and cost analysis to identify problems and improvement opportunities in existing workflows.
• Help develop and refine SOPs for pickup and delivery, sorting and transfers, transport, and service station operations.

• Coordinate with operations teams to roll out SOPs and monitor implementation.
• Regularly evaluate the results of process changes and promote standardisation and continuous improvement.

Key Deliverables

Resource Utilisation and Cost Analysis

• Analysis of the deployment, utilisation, and costs of staff, vehicles, and external resources.
• Resource efficiency and cost-benefit analysis by service station and operational stage.

• Analysis of the structure and trends of labour, fleet, transport, and outsourcing costs.
• Analysis of operating cost per shipment, output per unit of resource, and performance against cost targets.

• Assessments of resource allocation, identification of cost anomalies, and recommendations for savings and efficiency gains.

KPI Performance Analysis

• Performance against operational quality and cost KPI targets.
• Analysis of performance differences across service stations and operational stages.

• Root-cause analysis of KPI exceptions and follow-up on corrective actions.
• Regular KPI reports to support operational decisions.

SOP Development and Improvement

• New and updated operational SOPs.
• Operational improvement measures and implementation standards.

• SOP compliance checks and evaluations of improvement outcomes.
• Standardisation and ongoing improvement of operational processes.

Job Requirements

Education and Experience

• Diploma or Degree in Logistics, Supply Chain, Data Analytics or related fields (or equivalent practical experience in logistics operations analytics).
• At least two years of experience in operations management or data analysis in logistics, express delivery, transport, or a related industry.

• Familiarity with logistics workflows and key operational quality and cost metrics.

Technical Skills

• Proficiency in Microsoft Excel, including pivot tables and commonly used functions for organising and analysing data.
• Strong analytical skills and the ability to independently analyse quality, costs, and resource efficiency.

• Ability to identify operational problems from data and propose practical improvements.
• Familiarity with analytical tools such as Power BI or SQL is preferred.

• Experience writing operational SOPs, improving workflows, or working on improvement projects is preferred.

Core Competencies

• Logical thinking, an eye for patterns and anomalies in data, and strong problem-solving skills.
• Attention to detail and accountability for accurate, timely analysis.

• Strong cross-functional communication and coordination skills, with the ability to drive implementation of improvements.
• Ability to work independently and manage multiple priorities.

• Proficiency in English; fluency in Mandarin is required to liaise with Chinese-speaking regional stakeholders, vendors, and counterparts.

Position Objectives

Quality Improvement: Monitor and analyse operational quality data to identify exceptions and bottlenecks and improve key quality metrics.

Cost Optimisation: Analyse resource efficiency and cost structures to identify waste and savings opportunities, improve returns on resource inputs, and reduce operating costs.

Process Standardisation: Develop and refine operational SOPs and track implementation to standardise workflows and improve operational efficiency and oversight.