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Operations Research Analyst, DOD Support Services
Интересная роль для экспертов в области ORSA с возможностью влиять на стратегические решения Армии США. Однако позиция зависит от утверждения контракта, а отсутствие указанной зарплаты снижает прозрачность предложения.
Сложность вакансии
Высокая сложность обусловлена требованием наличия активного допуска Secret Clearance и специфического опыта работы в структурах HQDA или MACOMS. Также необходимы глубокие знания в области математического моделирования и владение специализированным ПО (SAS, R).
Анализ зарплаты
Зарплата для ORSA в Вашингтоне (NCR) обычно выше средней по стране из-за высокой стоимости жизни и требований к допуску секретности. Данная позиция соответствует рыночным ожиданиям для специалистов с опытом работы от 4 лет в оборонном секторе.
Сопроводительное письмо
I am writing to express my strong interest in the Operations Research Analyst position supporting the DCS G-8. With a solid background in applied mathematics and over four years of experience in operations research within military contexts, I am confident in my ability to provide the high-level analytical expertise required for the Warfighting Analysis Division. My technical proficiency in SAS, R, and data visualization tools like Tableau, combined with my experience in ANOVA and linear programming, aligns perfectly with the technical demands of this role.
Throughout my career, I have demonstrated a keen ability to lead data collection efforts and translate complex statistical findings into actionable recommendations for senior leadership. Having worked with large-scale military data systems, I understand the nuances of force development and modernization processes. I am particularly drawn to Dexis's culture of inclusiveness and mission-driven approach, and I am eager to apply my skills to support the Army's readiness and resourcing objectives.
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Присоединяйтесь к команде Dexis и внесите свой вклад в национальную безопасность США, используя передовые методы анализа данных!
Описание вакансии
Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world.
At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded.
About the Position
Dexis is seeking an Operations Research Systems Analyst (ORSA) for a contract to support the Deputy Chief of Staff (DCS) of the General Staff -8 (G8) in support of the Director of Material. The purpose of this effort is to provide the DCS G-8, Force Development Directorates with dedicated analytic subject matter expertise and programmatic support in force development processes, analysis, integration, information and tactical data systems, force modernization, and the equipment fielding process needed to support the Army's mission.
The ORSA will support the Warfighting Analysis Division. They will lead appropriate data collection efforts, manage and maintain appropriate databases, conduct analytical studies using mathematical, statistical, and other operations research to identify and define problems, develop and investigate alternative courses of action, and present concrete findings and recommendations. The ORSA will build, evaluate and model modernization, resourcing, equipment distribution, and readiness using optimization of software such as SAS and visual output with Qlik and/or Tableau.
This position is based in the NCR at a client location. The position is subject to client approval and contract award.
Responsibilities
- Lead data collection efforts; clean, manage and maintain data in accessible databases.
- Conduct analysis using mathematical, statistical, and other operations research to identify and define problems, innovatively. Develop and investigate alternative courses of action, as needed.
- Forecast and measure to effect analysis (e.g. ANOVA, Multiple Regression), cost analysis, flow modeling, forecast modeling, linear programming, simulations and queuing theory, and business reengineering/IDEF modeling.
- Construct models as symbolic representations of a process, system, and/or operation.
- Manipulate models via mathematical, statistical, computer, or other techniques.
- Present concrete findings and recommendations.
- Build, evaluate and model modernization, resourcing, equipment distribution, and readiness using appropriate software including SAS, Qlik, and/or Tableau.
Qualifications
- Bachelor's degree in operations research, applied mathematics, statistics, engineering (Systems or Industrial), or computer science.
- Minimum of four (4) years ORSA experience at most senior levels of the military such as the HQDA, MACOMS, or Army Service Component Commands.
- Analytic proficiency in programming and data analysis.
- Proficiency with R and/or SAS.
- Experience applying analytic techniques such as statistical analysis, forecasting and measurement to effect analyses (e.g. ANOVA, Multiple Regression), cost analysis, flow modeling, forecast modeling, linear programming, simulations and queuing theory, and business reengineering/IDEF modeling.
- Demonstrated experience in using the tools of operations research, specifically the application of systems analysis, simulation and optimization, probability and statistics, data and mathematical analysis during a project.
- Possess the ability to collect and organize information from a variety of sources, such as computer databases, sales histories, and customer feedback.
- Active Secret Clearance.
Preferred Qualifications
- Successful completion of the below schools, courses, and/or degrees is highly desirable:
+ Army War College.
+ Army Command and Staff College/ILE.
+ ORSA MAC.
+ Acquisition Training.
+ Master’s Degrees in Analysis, Systems or Industrial Engineering, Math, Statistics or other related disciplines.
- Former military service, preference service with the Army.
- Experience presenting analytical findings and recommendations to senior leadership and decision makers.
Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you?
If you are passionate about this opportunity, apply now!
Only those applicants who meet the above criteria will be contacted for interview.
Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.
As part of a competitive benefits package for eligible employees, Dexis provides healthcare insurance in addition to other staff welfare benefits and perks.
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Навыки
- Data Analysis
- Tableau
- Statistics
- Operations Research
- Regression Analysis
- SAS
- R
- Qlik
- Mathematical Modeling
- Linear Programming
- ANOVA
Возможные вопросы на собеседовании
Проверка опыта работы в иерархических структурах Министерства обороны США.
Опишите ваш опыт взаимодействия с руководством уровня HQDA или MACOMS при представлении результатов аналитических исследований.
Оценка технических навыков в области статистического моделирования.
Какие методы регрессионного анализа или ANOVA вы использовали для прогнозирования распределения ресурсов в ваших предыдущих проектах?
Проверка владения инструментами визуализации и анализа.
Расскажите о наиболее сложном дашборде или модели, которую вы создали в SAS, Qlik или Tableau для поддержки принятия решений.
Оценка способности работать с «грязными» данными.
С какими основными трудностями вы сталкивались при сборе и очистке данных из тактических систем данных Армии, и как вы их решали?
Проверка понимания процессов модернизации вооруженных сил.
Как вы интегрируете принципы теории массового обслуживания или линейного программирования в моделирование процессов оснащения войск?
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