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Operations Research Optimization information

What is the difference between Operations Research Optimization vs Data Analyst?

AspectOperations Research OptimizationData Analyst
Required CredentialsDegree in Operations Research, Industrial Engineering, or related fields; often certifications in optimization toolsDegree in Statistics, Mathematics, or related fields; certifications in data analysis tools
Work EnvironmentAnalytical teams in manufacturing, logistics, or consulting firmsBusiness or corporate settings, focusing on data interpretation and reporting
Industry UsageSupply chain, transportation, manufacturing, logisticsFinance, marketing, healthcare, retail
Common Search/ComparisonOperations Research Optimization vs Data Analyst

Operations Research Optimization focuses on developing mathematical models to improve decision-making processes, often in logistics and manufacturing. Data Analysts interpret and visualize data to support business decisions. While both roles analyze data, Operations Research Optimization emphasizes optimization techniques and complex modeling, whereas Data Analysts focus on data interpretation and reporting.

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Operations Research Optimization jobs near you

Junior Operations Research Analyst

The One 23 Group

Herndon, VA • On-site

Full-time

Posted 29 days ago

Job description

Description:

The One23 Group (O23G) is a technical services firm founded in Virginia in January 2023. Our company develops, produces, and delivers state-of-the-art simulation models and analytical tools for government and industry clients. We support complex operational decision-making related to performance, resource allocation, person and vehicle flow, facilities design capacity, logistics, technology insertion, readiness, and budget justification.


Position Overview

We are seeking a highly motivated and analytically driven Junior Operations Research Analyst to join our team in support of our Department of Homeland Security (DHS) customer.

This role focuses on applying data analytics, statistical methods, and modeling techniques to support the development and application of simulation models representing real-world operations at U.S. Ports of Entry (POEs). The successful candidate will work with operational data to develop baseline models, conduct scenario analysis, and provide decision support to government stakeholders.


Key Responsibilities

• Analyze operational datasets to understand system behavior, including arrival patterns, processing times, and throughput

• Develop analytical inputs and assumptions to support simulation models

• Support the development and application of discrete event simulation models

• Conduct scenario analysis to evaluate impacts of changes in staffing, infrastructure, or processes

• Validate model outputs against real-world data and refine assumptions as needed

• Translate operational processes into structured analytical frameworks

• Communicate findings and recommendations to technical and non-technical stakeholders

• Support development of synthetic environments through integration of data, models, and visualization tools


Essential Skills & Qualifications

• Proficiency in Python, R, or similar analytical programming languages

• Strong foundation in statistics, data analysis, and quantitative problem solving

• Experience working with structured datasets using tools such as Excel, SQL, or similar platforms

• Experience working with time-based or event-based datasets

• Experience or familiarity with simulation modeling (discrete event, Monte Carlo, or agent-based)

• Exposure to operations research techniques (e.g., queueing theory, system modeling, optimization)

• Experience analyzing transportation, logistics, or service systems

• Familiarity with data visualization tools (e.g., Power BI, Tableau)

• Experience supporting federal clients or working in DHS environments

• Ability to communicate technical concepts clearly to non-technical audiences

Requirements:

• Active DHS Public Trust BI or higher-level clearance within DHS.

• Bachelor’s degree in Operations Research, Industrial Engineering, Data Science, Mathematics, Engineering, or a related quantitative field

• U.S. citizenship is required


Additional Information:

Travel within the United States is required. Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. No H1B Visas sponsorship.



Equal opportunity employer, including disability/vets.