Operations Research Analyst

Kinaxis

Operation Research Analyst working with Kinaxis Maestro to solve complex supply chain challenges. Engage with customers to understand their needs and support solution development.

Posted 7/24/2026full-timeChennai • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Supply Chain Management and Operations Research, with a strong focus on optimization techniques and algorithm development. Proficient in translating complex analytical outputs into actionable business insights while effectively collaborating with cross-functional teams.

Highest-signal resume keywords

Supply Chain ManagementOperations ResearchOptimization TechniquesAlgorithm DevelopmentData Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Linear ProgrammingMixed Integer ProgrammingHeuristic ApproachesConstraint-Based ModelingEntity Relationship Diagram LogicSaaS Supply Chain PlatformsMaestro ScriptingAnalytical Problem-SolvingSoftware Development ToolsOptimization Models

Soft Skills

Interpersonal SkillsCommunication SkillsPresentation SkillsProblem-Solving SkillsCritical Thinking

Tools & Technologies

PythonSQLAgile Methodologies

Industry Keywords

Supply ChainQuality ControlQuality AssuranceData-Driven Decision FrameworksProduction Planning

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Provide trusted expertise and contribute, review and support throughout the development phase of concepts within Kinaxis Maestro product
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
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
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.

Requirements

What you’ll need

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

Benefits

Comp & perks

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