Senior Data Analyst

Yokohama-TWS isn't just a workplace; it's a community committed to excellence. Our dedication to employees, customers, and communities is unparalleled. We empower our teams, foster genuine relationships, and consistently exceed customer expectations with unmatched value.

Your Role and Impact

Supply Chain Optimization

• Analyse transportation networks, warehouse operations and their costs to identify inefficiencies.
• Convert the inefficiencies into mathematical optimisation problems with relevant parameters to optimise delivery routes, carrier selection, space utilisation, etc.

Scenario Modeling & What-If Analysis

• Build scenario models to evaluate changes in supply chain operations (e.g., transport lane changes, where to build a new warehouse).
• Conduct cost-benefit analysis for potential operational changes.

Performance Monitoring & Data-Driven Decision Making

• Develop interactive dashboards (Power BI, Tableau, or similar) to track KPIs for transport and warehousing.
• Provide insights to supply chain managers and senior leadership to support decision-making.

Collaboration & Continuous Improvement

• Work closely with supply chain and IT teams to enhance operational efficiency.

Your Eligibility

Bachelor's or Master’s degree in Data Analytics, Mathematics, Statistics, or Engineering.

Alternatively, a strong logistics/operations background with self-learned data skills.

Including

• 4+ years of experience in data analytics, supply chain, logistics, or operations analytics.
• Data Analysis & SQL – Advance skills in Excel, SQL, and Power BI/Tableau for analytics.
• KPI Tracking & Reporting – Experience in creating dashboards to monitor KPIs.
• Problem-Solving & Business Acumen – Ability to formulate a problem statement and split it into packets of workable mini-problems; interpret data insights into actionable recommendations.
• Coding in any programming language.

Your Eligibility will be stronger if

• Logistics & Supply Chain Experience – Understanding of transportation networks, warehousing, and inventory management.
• Python or R – For automation and advanced data modeling.
• Optimization Modeling (Excel Solver, Gurobi, or AnyLogic) – To improve warehouse & transport efficiency.
• Route Optimization (Google OR-Tools, Dijkstra’s algorithm) – For smarter delivery planning.
• Scenario Modeling (What-If Analysis) – Experience with scenario simulation and cost modeling.
• ETL – Knowledge of ETL tools and processes.

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