RXO – Engineer Solutions Engineering

Job Description

RXO is hiring talented professionals for the role of Engineer Solutions Engineering at its Mumbai location. This opportunity is ideal for candidates who are passionate about supply chain analytics, transportation optimization, logistics engineering, and data-driven decision-making. As a leading provider of transportation and supply chain solutions, RXO combines advanced technology, analytical intelligence, and operational expertise to help businesses improve efficiency and optimize their logistics networks. The company is looking for candidates with strong analytical capabilities who can contribute to supply chain network optimization studies, transportation modeling projects, and operational improvement initiatives using modern analytical tools and engineering methodologies.

In this role, candidates will work closely with experienced engineers, analysts, and cross-functional teams to support complex supply chain and transportation optimization projects. The Engineer Solutions Engineering position focuses heavily on data analysis, scenario modeling, supply chain research, and operational problem-solving. Professionals joining this role will gain hands-on exposure to advanced optimization tools such as Coupa Supply Chain Guru, Power BI, SQL, and other decision-support technologies used within modern logistics and transportation environments. The role also involves creating analytical reports, dashboards, and customer-ready presentations that help organizations identify cost-saving opportunities, improve service performance, and streamline supply chain operations.

This position offers an excellent career opportunity for candidates looking to grow in supply chain engineering, logistics analytics, industrial engineering, and transportation management. RXO values innovation, collaboration, continuous learning, and operational excellence. Employees will have the opportunity to work on real-world optimization challenges while building technical expertise in data analytics, transportation design, network modeling, and supply chain strategy. Candidates who enjoy working with data, solving business problems, and contributing to technology-driven logistics solutions will find this role highly rewarding and beneficial for long-term career growth in the supply chain and logistics industry.

Roles & Responsibilities

• Support supply chain network optimization and transportation engineering projects through detailed research, structured data collection, and analytical evaluation processes.
• Perform data mining, validation, cleansing, and scenario analysis to identify operational inefficiencies, cost reduction opportunities, and service improvement possibilities within customer supply chains.
• Assist in building, running, and maintaining optimization models using tools such as Coupa Supply Chain Guru, Optilogic Cosmic Frog, or similar supply chain modeling platforms.
• Analyze transportation, inventory, procurement, and distribution data to support strategic recommendations and operational solution development initiatives.
• Develop dashboards, analytical reports, data visualizations, and performance summaries using Power BI, Microsoft Excel, SQL, Access, and related analytical tools.
• Collaborate with senior engineers, operations teams, and business stakeholders to refine project assumptions, validate analytical results, and improve optimization strategies.
• Support the preparation of customer presentations, operational reports, executive summaries, and data-driven business recommendations for decision-making purposes.
• Contribute to transportation redesign studies, logistics planning initiatives, and network modeling projects focused on operational efficiency and service improvements.
• Assist in documenting standard operating procedures, process workflows, analytical methodologies, and supply chain best practices for internal knowledge sharing.
• Participate in continuous improvement initiatives by identifying process gaps, operational bottlenecks, and opportunities for workflow optimization within logistics operations.
• Work closely with cross-functional teams across logistics, procurement, engineering, warehousing, and transportation management departments to support project execution.
• Stay updated with emerging supply chain technologies, logistics trends, transportation optimization techniques, and analytics tools to strengthen technical expertise.

Requirements & Eligibility

• Bachelor’s degree in Supply Chain Management, Logistics, Industrial Engineering, Manufacturing Engineering, Operations Research, or another analytical and technical discipline.
• Minimum 1 year of experience in supply chain operations, logistics management, transportation planning, procurement, distribution, or decision-support systems.
• Strong analytical and problem-solving skills with practical experience in data analysis, scenario evaluation, and business intelligence reporting.
• Proficiency in Microsoft Excel, Power BI, Microsoft Access, SQL, or similar analytical and reporting tools used for supply chain data analysis.
• Ability to structure, interpret, and analyze large datasets to identify optimization opportunities and operational improvement strategies.
• Familiarity with supply chain network optimization concepts, transportation modeling methodologies, and logistics analytics processes.
• Exposure to optimization tools such as Coupa Supply Chain Guru, Optilogic Cosmic Frog, or related supply chain design software will be an added advantage.
• Experience creating dashboards, visual reports, analytical summaries, and operational insights for business decision-making and customer presentations.
• Good communication, collaboration, and presentation skills with the ability to explain analytical findings clearly to technical and non-technical stakeholders.
• Understanding of Lean methodologies, Six Sigma principles, continuous improvement processes, and operational efficiency frameworks is beneficial.
• Ability to work effectively in collaborative environments while managing multiple analytical tasks and project responsibilities simultaneously.
• Passion for logistics technology, transportation analytics, operational excellence, and continuous professional development within the supply chain domain.

Expected Salary

The expected salary for the Engineer Solutions Engineering role at RXO generally ranges between ₹5 LPA to ₹10 LPA depending on educational background, analytical expertise, supply chain knowledge, and experience with optimization tools and business intelligence platforms. Candidates with strong skills in Power BI, SQL, logistics analytics, and supply chain modeling may receive more competitive compensation packages. In addition to salary, employees may benefit from professional development opportunities, exposure to global logistics projects, and long-term career growth within the transportation and supply chain technology industry.

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