Graduate Operations Research Analyst

Job Description

Graduate Operations Research Analyst | Fortray Global Service Limited

The Tone:
This is an entry-level role at Fortray Global Service Limited. Fortray Global Service Limited is seeking recent graduates to apply mathematical models, data analysis, and optimization techniques to solve complex business problems. This position is vital for improving operational efficiency and supporting data-driven decision-making across various business functions. The company provides full training and mentorship to help new analysts develop practical skills in business optimization and decision support.

The TL;DR
• Role: Early Career
• Type: Full-time

• Mission: To improve business processes, support data-driven decisions, and enhance operational efficiency using analytical and optimization techniques.
• Tech Stack: Microsoft Excel, Python, R, SQL, Power BI, Tableau

What You’ll Actually Do
• Data Analysis: Collect, clean, and analyze operational and business data to uncover insights.
• Model Development: Assist in developing mathematical and optimization models to improve business processes and performance.
• Planning Support: Support initiatives related to forecasting, scheduling, resource allocation, and capacity planning.
• Reporting & Presentation: Prepare reports, dashboards, and presentations for stakeholders, outlining findings and recommendations.
• Cross-functional Collaboration: Work with cross-functional teams to identify and implement opportunities for operational improvements.

The Must-Haves
• Background: Bachelor’s degree in Operations Research, Industrial Engineering, Mathematics, Statistics, Data Analytics, Business Analytics, Computer Science, or a related quantitative discipline. This is an entry-level position.
• Experience: Recent graduate or up to 1 year of professional experience. Must possess strong analytical, mathematical, and problem-solving skills.
• Skills: Good understanding of statistics and optimization concepts, basic knowledge of Microsoft Excel, and strong written and verbal communication skills.
• Bonus: Basic knowledge of Python, R, or SQL; familiarity with Power BI, Tableau, or similar reporting tools; understanding of optimization techniques such as Linear Programming or Integer Programming; knowledge of forecasting and simulation concepts.