Operation Research Analyst

About Kinaxis Elevate your career journey by embracing a new challenge with Kinaxis. We are experts in tech, but it’s really our people who give us passion to always seek ways to do things better. As such, we’re serious about your career growth and professional development, because People matter at Kinaxis. In 1984, we started out as a team of three engineers based in Ottawa, Canada. Today, we have grown to become a global organization with over 2000 employees around the world, and support 40,000+ users in over 100 countries. As a global leader in end-to-end supply chain management, we enable supply chain excellence for all industries. We are expanding our team in Chennai and around the world as we continue to innovate and revolutionize how we support our customers. Our journey in India began in 2020 and we have been growing steadily since then! Building a high-trust and high-performance culture is important to us and we are proud to be Great Place to Work® Certified TM . Our state-of-the-art office, located in the World Trade Centre in Chennai, offers our growing team space for expansion and collaboration. Location Chennai, India (Hybrid)

About The Role Operation Research - Analyst is a professional level role with demonstrated experience. The job incumbent would

• Provide trusted expertise and contribute, review and support throughout the development phase of concepts within Kinaxis Maestro product.
• Would be responsible for understanding Kinaxis’ customers’ most pressing business challenges and will be committed to supporting our customers by solving complex issues in their Supply Chain Management practice.
• Responsible for supporting Solution Development activities throughout the deployment of Kinaxis solutions. What you will do
• Translate business requirements into Kinaxis Maestro product specifications, following Supply Chain Industry trends and best practices.
• Translate complex supply chain problems into analytical / mathematical models (e.g., optimization, heuristics, constraint-based logic) and embed them into Maestro solutions.
• Work in small POD teams with domain experts and stakeholders to rapidly understand problems and deliver usable solutions
• Configure and implement the Kinaxis Maestro product to meet customer business requirements, ensuring high-quality solution configurations, alignment with user stories, and completion within project timelines.
• Design and develop advanced algorithmic logic (e.g., allocation, prioritization, capacity balancing) using Maestro scripting and embedded algorithms.
• Support Quality Control/Quality Assurance in validating and testing the solution. Provide recommendations to improve future workflows and implementations.
• Collaborate with Product Managers and internal stakeholders to align the Kinaxis Maestro solution with system capabilities.
• Work with stakeholders to identify objective functions, constraints, and trade-offs (e.g., cost vs. service, inventory vs. capacity), and translate them into system logic.
• Support in developing and enhancing inventory management modules to balance service levels, working capital, and system efficiency, leveraging optimization techniques and data-driven decision frameworks.
• Support in developing Production Planning workflows that balance capacity, lead times, and demand variability, incorporating constraint-based and optimization-driven logic.
• Participate and provide continued support to the customer during the Early Innovator program of the project to ensure the customer understands the solution and how it integrates into their supply chain management objectives and practices.
• Conduct data-driven analysis to identify opportunities for improvement and recommend them to the project team to increase the effectiveness of the developed solution.
• Continuously identify opportunities to standardize and enhance Maestro resources using reusable OR-based solution patterns.
• High ownership and a bias toward action: you move things forward without waiting for perfect clarity. What we are looking for
• Bachelor’s degree in supply chain, Industrial Engineering, Computer Science, Information Technology, or a related field.
• Minimum 5 years of working experience within Supply Chain Management platforms.
• Experience working in a software or technology-driven environment.
• Strong foundation in Operations Research and optimization techniques - including Linear Programming, Mixed Integer Programming, heuristic approaches to solving nonlinear problems, and constraint-based modeling - is highly preferred.
• Ability to translate mathematical/analytical outputs into actionable business insights for stakeholders.
• Passion for working in customer-facing roles and able to demonstrate strong interpersonal, communication, and presentation skills.
• Knowledge of Agile methodologies for system implementation.
• Ability to interpret business requirements and convert them into entity relationship diagram logic.
• Understanding of the software deployment life cycle, including business requirements definition, review of functional specifications, development of test plans, testing, user training, and deployment.
• A proactive self-starter who takes initiative in work and learning and thrives in a fast-paced environment.
• Excellent problem-solving and critical thinking skills, able to synthesize a high volume of complex information to determine the best course of action.
• Works well in a team environment and can work effectively with people at all levels in an organization.
• Ability to communicate complex ideas and concepts effectively in English, both verbally and in writing, to bridge technical and business teams.
• Experience in SaaS Supply Chain platform projects.
• Knowledge of software extensions and embedded algorithms is an advantage.
• Experience in data analysis or software development tools, including but not limited to Python and SQL.
• Experience with optimization models, analytical problem-solving, or algorithm development in a supply chain context is a strong advantage.
• Exposure to simulation, scenario analysis, or decision-support modeling frameworks is preferred.
• Comfortably operating in ambiguous environments where problems are not fully defined upfront.
• Strong communication skills and ability to collaborate across engineering, product, and business teams. #intermediate

Work With Impact: Our platform directly helps companies power the world’s supply chains. We see the results of what we do out in the world every day, when we see store shelves stocked, when medications are available for our loved ones, and so much more.

Work with Fortune 500 Brands: Companies across industries trust us to help them take control of their integrated business planning and digital supply chain. Some of our customers include Lockheed Martin, Yamaha, P&G, Honda, and more.

Social Responsibility at Kinaxis: Our Diversity, Equity, and Inclusion Committee weighs in on hiring practices, talent assessment training materials, and mandatory training on unconscious bias and inclusion fundamentals. Sustainability is key to what we do and we’re committed to a long-term net-zero operations strategy. We are involved in our communities and support causes where we can make the most impact. People matter at Kinaxis and these are some of the perks and benefits we created for our team:

• Flexible vacation and Kinaxis Days (company-wide day off on the third Friday of every month)
• Flexible work options
• Physical and mental well-being programs
• Regularly scheduled virtual fitness classes
• Mentorship programs, training, and career development
• Recognition programs and referral rewards
• Hackathons For more information, visit the Kinaxis website at www.kinaxis.com or the company’s blog at http://blog.kinaxis.com . Kinaxis welcomes candidates to apply to our inclusive community. We provide accommodations upon request to ensure fairness and accessibility throughout our recruitment process for all candidates, including those with specific needs or disabilities. If you require an accommodation, please reach out to us at recruitmentprograms@kinaxis.com. Please note that this contact information is strictly for accessibility requests and cannot be used to inquire about application statuses. Kinaxis is committed to ensuring a fair and transparent recruitment process. We use artificial intelligence (AI) tools in the initial step of the recruitment process to compare submitted resumes against the job description to identify candidates whose education, experience, and skills most closely match the requirements of the role. After the initial screening, all subsequent decisions regarding your application, including final selection, are made by our human recruitment team. AI does not make any final hiring decisions.