Remote Operations Research Analyst – Join a Dynamic Analytics Team

Are you passionate about turning complex data into actionable insights that drive strategic decisions? This fully remote Operations Research Analyst role offers you the chance to work with cutting‑edge optimization models, collaborate with cross‑functional teams, and make a measurable impact—all from the comfort of your home office.

About the Role

As an Operations Research Analyst, you will design, develop, and implement quantitative models to solve business challenges across supply chain, logistics, finance, and operations. You’ll partner with stakeholders to translate analytical findings into clear recommendations, helping the organization improve efficiency, reduce costs, and enhance performance.

Key Responsibilities

• Build and validate mathematical optimization, simulation, and forecasting models using tools such as Python, R, Julia, or MATLAB.
• Analyze large datasets to identify trends, bottlenecks, and opportunities for process improvement.
• Present model results and actionable insights to technical and non‑technical audiences through reports, dashboards, and visualizations.
• Collaborate with product, engineering, and operations teams to integrate analytical solutions into workflows.
• Stay current with emerging OR techniques and advocate for best practices in model development and validation.

Requirements

Education & Experience

• Bachelor’s or Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Computer Science, or a related field.
• 2+ years of professional experience applying OR methods to real‑world business problems.
• Strong programming skills in Python (NumPy, SciPy, pandas) or R; familiarity with optimization solvers (Gurobi, CPLEX, GLPK) is a plus.
• Solid grasp of statistical analysis, linear/integer programming, queuing theory, and simulation techniques.
• Excellent communication abilities; capable of translating complex technical concepts into clear business language.

Preferred Qualifications

• Experience with cloud‑based analytics platforms (AWS, Azure, GCP).
• Knowledge of machine learning methods for predictive modeling.
• Certifications such as INFORMS CAP, Six Sigma, or PMP are advantageous.
• Demonstrated success in delivering cost‑savings or revenue‑growth projects.

Benefits

Compensation & Perks

• Competitive salary range: $78,000 – $102,000 USD per year, commensurate with experience.
• Fully remote work environment – work from anywhere with a reliable internet connection.
• Flexible hours with core collaboration windows to support global teamwork.
• Comprehensive health, dental, and vision insurance plans.
• 401(k) with company matching, plus employee stock purchase options.
• Generous paid time off, parental leave, and wellness stipends.
• Annual learning budget for conferences, courses, and certifications.
• Access to cutting‑edge analytics tools and a supportive community of data scientists.

Culture & Growth

We foster an inclusive, innovative culture where curiosity is rewarded and continuous learning is encouraged. As a remote-first organization, we invest in virtual team‑building activities, mentorship programs, and clear career pathways to help you grow from analyst to senior specialist or lead roles.

Why Join Us?

Impactful Work: Your models will directly influence strategic decisions that save millions and improve customer satisfaction.

Technical Excellence: Work alongside industry experts and gain exposure to state‑of‑the‑art OR techniques.

Work‑Life Balance: Enjoy the flexibility of remote work while being part of a collaborative, high‑performing team.

If you’re ready to apply your analytical prowess to solve real‑world problems from anywhere, we’d love to hear from you. Bring your expertise, passion for optimization, and drive to make a difference—let’s build smarter operations together.