Looking for an Operations Research Analyst. An Operations Research Analyst applies advanced analytical and mathematical techniques to solve complex problems and optimize decision-making in various industries. These analysts use mathematical modeling, statistical analysis, and computer simulations to analyze and improve organizational processes, systems, and resource allocation.

(Company Facilities:  Accommodation, Food, Medical Insurance)

Requirements: 

•  Passport Validity (1 year).
•  Passport Size photo 2 inches by 2 inches on a white background, perfect for showing off your face.
•  Updated CV.
•  Police Clearence Certificate.
•  Educational degrees, certificates, and transcripts.
•  Previous employment experience documentation.
•  Previous employment experience documentation.
•  Marriage and birth certificates (if dependent members are traveling along).

Processing Time:

• H1-B Visa USA Processing Timeline: 16-24 Weeks
• Step 1: Enrollment
• Each following step will be carefully completed with the government's approval, ensuring a smooth and prompt process.

Responsibilities:

1. Work closely with stakeholders to understand the objectives and challenges of a given problem or decision-making process.
2. Identify key variables, constraints, and objectives and translate them into a mathematical or analytical model.
3. Gather relevant data from various sources, including databases and surveys.
4. Clean and preprocess the data, perform statistical analysis, and derive insights and patterns.
5. Develop mathematical models, algorithms, and optimization techniques to represent the problem.
6. Utilize tools such as linear programming, integer programming, and simulation to analyze the model and identify optimal solutions.
7. Use simulation tools to model complex systems and evaluate different scenarios.
8. Recommend the best course of action to optimize performance, reduce costs, increase productivity, and improve overall operational efficiency.

Requirement and skills:

1. Operations research is a discipline that uses mathematical and analytical techniques to optimize decision-making. Analysts employ operations research to analyze and enhance organizational performance.
2. They use statistical and simulation models to evaluate process effectiveness and provide solutions for optimization.
3. Proficiency in Python is valuable for data analysis, modeling, and automation.
4. Python allows analysts to manipulate data, create visualizations, and develop custom tools.
5. Understanding statistical methods is essential. Analysts use statistical techniques to interpret data, identify trends, and make informed decisions.
6. Analysts collect and analyze data from various sources. Skills in data cleaning, preprocessing, and deriving insights are crucial.
7. Knowledge of C++ can be advantageous for certain applications, especially in optimization and simulation.
8. Teamwork.
9. Analytical Thinking.
10. Time Management.