Remote Operations Research Analyst – Drive Data‑Decisions from Anywhere

Join a forward‑thinking analytics team where your quantitative expertise turns complex data into actionable strategy. As a fully remote Operations Research Analyst, you’ll partner with product, finance, and supply‑chain leaders to build models that improve efficiency, reduce cost, and uncover growth opportunities—all from the comfort of your home office.

About the Role

In this position you will design, develop, and implement optimization models, simulation studies, and statistical analyses that support strategic decision‑making. You’ll translate business problems into mathematical formulations, run experiments, and communicate insights to stakeholders through clear visualizations and reports. The role demands both deep analytical rigor and the ability to collaborate across functions in a distributed environment.

Key Responsibilities

• Formulate linear, integer, and nonlinear programming models to solve logistics, inventory, and resource allocation challenges.
• Conduct discrete‑event and agent‑based simulations to evaluate process improvements and risk scenarios.
• Perform statistical analysis, forecasting, and trend identification using Python, R, or SAS.
• Validate model outputs against real‑world data and iterate based on stakeholder feedback.
• Prepare concise, visually engaging presentations for executive audiences.
• Stay current with emerging OR techniques and recommend tooling upgrades.

Requirements

Education & Experience

• Bachelor’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, or a related field; Master’s preferred.
• 3+ years of hands‑on experience building and deploying optimization or simulation models in a business setting.

Technical Skills

• Proficiency in optimization solvers (Gurobi, CPLEX, Xpress, or open‑source alternatives).
• Strong programming ability in Python (NumPy, SciPy, PuLP, Pyomo) or R.
• Experience with SQL for data extraction and manipulation.
• Familiarity with visualization tools such as Tableau, Power BI, or matplotlib/seaborn.
• Understanding of statistical methods, forecasting, and machine learning basics.

Soft Skills

• Excellent problem‑solving mindset with a focus on practical impact.
• Strong written and verbal communication; able to explain technical concepts to non‑technical audiences.
• Self‑motivated, organized, and comfortable working autonomously in a remote team.
• Collaborative attitude and willingness to mentor junior analysts.

Benefits

• Fully remote work – choose your ideal home office setup.
• Competitive salary plus annual performance bonus.
• Comprehensive health, dental, and vision plans.
• 401(k) with company match.
• Generous paid time off and company holidays.
• Professional development budget for conferences, certifications, and courses.
• Flexible hours with core collaboration windows.
• Access to cutting‑edge analytics tools and cloud computing resources.

Salary Range

Based on industry standards for mid‑level Operations Research Analysts in the United States, the expected compensation is $78,000 – $110,000 USD per year, adjusted for experience, education, and location‑based cost‑of‑living factors.