operation research analyst - logistics

X2 EXPRESS PTE. LTD.; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

X2 Express Pte Ltd is seeking an Operations Research Analyst to support data-driven planning and optimisation of logistics, delivery operations and capacity planning. The role uses mathematical and statistical methods to improve route efficiency and manpower deployment.

Responsibilities include analysing data, developing quantitative models, forecasting volumes and presenting actionable insights via dashboards and reports.

Qualifications

• Bachelor's degree in a quantitative field such as Mathematics, Statistics, OR or Data Analytics.
• Knowledge of mathematical modelling and quantitative analysis.
• Ability to translate data insights into practical recommendations.

Responsibilities

• Analyse delivery and operational data to identify trends and gaps.
• Develop models to optimise routes, manpower and capacity.
• Forecast parcel volumes and staffing needs from historical data.
• Prepare dashboards and reports using Excel and Power BI.
• Conduct what-if analyses for volume, routes and capacity changes.
• Collaborate with operations to implement data-driven improvements.

Skills

Analytical thinking

Data-driven decision-making

Excel proficiency

Problem solving

Education

Bachelor's degree in quantitative field

Tools

Power BI

SQL

Python

Job description

Operations Research Analyst – Logistics

Job Summary

X2 Express Pte Ltd is seeking an Operations Research Analyst to support data-driven planning and optimisation of our logistics and delivery operations. The role will apply mathematical, statistical and analytical methods to improve route planning, manpower deployment, delivery capacity and operational efficiency.

Key Responsibilities

• Analyse delivery, parcel-volume and operational data to identify trends and performance gaps.
• Develop quantitative models to optimise delivery routes, manpower allocation and operational capacity.
• Conduct route and workload analysis to improve delivery efficiency.
• Forecast parcel volumes and manpower requirements based on historical and operational data.
• Analyse driver and delivery productivity using defined operational KPIs.
• Conduct cost, capacity and scenario analysis to support management decisions.
• Develop mathematical and statistical models for operational planning and resource allocation.
• Analyse warehouse and last-mile delivery processes and recommend data-driven improvements.
• Prepare management reports, dashboards and performance analysis using Excel, Power BI or other analytical tools.
• Conduct what-if analysis for changes in delivery volume, manpower, routes and operating capacity.
• Work with operations and management teams to translate analytical findings into practical operational improvements.
• Monitor the effectiveness of implemented optimisation initiatives and report outcomes to management.

Requirements

• Bachelor's Degree in Mathematics, Statistics, Operations Research, Data Analytics or a related quantitative discipline.
• Knowledge of mathematical modelling, statistics and quantitative analysis.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel; knowledge of Power BI, SQL, Python or similar analytical tools will be an advantage.
• Knowledge of logistics and supply-chain operations will be an advantage.
• Ability to analyse large operational datasets and translate findings into practical recommendations.

Preferred Background

Candidates with logistics, warehouse, transportation, supply-chain or delivery operations experience will be considered favourably.