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Open nowPosted 9 days agoWe saw it 82 min after it went up

Senior Operations Research Analyst

Analytic Services Inc76 open roles

Pay
$107,000 – $155,000 a year
Where
St Inigoes, MD
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Your applicationOpen nowSenior Operations Research AnalystAnalytic Services Inc · St Inigoes, MD

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The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market. Analytic Services Inc postings stay open a median of 8 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 9 days ago

Analytic Services Inc median: 8 days open

The posting

Company Overview:

ANSER enhances national and homeland security by strengthening public institutions. We provide thought leadership for complex issues through independent analysis, and we deliver practical, useful solutions. ANSER values collaboration, integrity, and initiative and we are client focused in all that we do. Because we were established for the purpose of public service and not for profit, we measure our success in the impact of our service.

Position Summary

ANSER is seeking a Senior Operations Research Analyst to support the Naval Air Warfare Center Aircraft Division (NAWCAD), Webster Outlying Field (WOLF), Special Communications Mission Solutions (SCMS) Division. The SCMS Division operates as the organic Lead Systems Integrator (oLSI®) and provides in-service engineering, maintenance, repair, and rebuild of Command, Control, Communications, Computers, Combat Systems, Intelligence, Surveillance, and Reconnaissance (C5ISR) systems.

In this role, you will formulate and apply mathematical modeling and other optimizing methods to develop and interpret information that supports management decision-making, policy formulation, and other managerial functions. You will collect and evaluate data, develop decision-support products and methodologies, and support Division objectives through analytical approaches and information-sharing practices.

Day-to-Day Responsibilities

  • Formulate and apply mathematical modeling and other optimizing methods to develop and interpret information supporting management decision-making, policy formulation, and other managerial functions.
  • Collect and evaluate data to support management decision-making and Division objectives.
  • Develop decision-support software, services, and/or products.
  • Develop and supply optimal time, cost, or logistics networks for program evaluation, review, or implementation, as applicable.
  • Develop appropriate methodologies, frameworks, and approaches to address Division objectives and drive toward results.
  • Apply analytical methodologies and frameworks to support Division requirements and objectives.
  • Reinforce Division information-sharing objectives to support an environment focused on net-centricity, data sharing, and collaboration.
  • Support the use of data and analytical information to inform management functions and decision-making.
  • Develop and interpret analytical information using mathematical modeling and optimization methods.
  • Support program evaluation, review, and implementation through applicable analytical and optimization techniques.

Only candidates who currently reside within a reasonable commuting distance to job location (50 miles) will be considered. This positions requires hybrid work schedule with several days a week in the office.

Required Qualifications

  • Active DoD Secret security clearance.
  • Master’s degree in any discipline plus a minimum of 10 years of relevant experience; OR a bachelor’s degree plus 4 additional years of experience related to the position’s duties may substitute for a master’s degree.
  • Experience applying mathematical modeling and optimizing methods to support management decision-making, policy formulation, or other managerial functions.
  • Experience collecting and evaluating data to support analytical and decision-support activities.
  • Experience developing or supporting decision-support software, services, and/or products.
  • Experience developing or applying methodologies, frameworks, and approaches to address organizational or Division objectives.
  • Ability to apply analytical methods to support program evaluation, review, or implementation.
  • Ability to support information-sharing objectives involving data sharing, collaboration, and net-centricity.

Preferred Qualifications

  • Strong analytical and problem-solving skills.
  • Strong written and verbal communication skills.
  • Experience applying mathematical modeling, optimization, or other analytical methods in support of Government programs.
  • Experience developing decision-support software, services, products, or other analytical solutions.
  • Experience supporting program evaluation, review, or implementation through analytical methods.
  • Experience developing methodologies, frameworks, and approaches for complex organizational objectives.
  • Experience supporting data-sharing and collaborative information environments.
  • Strong attention to detail and ability to interpret and communicate analytical information effectively.
  • Ability to work effectively in a customer-driven, mission-focused environment.

Individual salaries are determined by a variety of factors including but not limited to: business considerations, local market, internal equity, candidate qualifications such as skills, education and experience. ANSER provides employees benefits to support all aspects of their life including health, financial and well-being. For more information, please visit: http://www.anser.org

Full-Time Salary Range for this position:

$107,000—$155,000 USD

In compliance with the Americans with Disabilities Act (ADA), if you have a disability and would like to request an accommodation in order to apply for a position with ANSER, please call 703-416-2000 or e-mail [email protected]

ANSER is proud to be an Equal Opportunity Employer. We seek individuals from a broad variety of backgrounds with varying levels of experience who have a desire to do meaningful work. We recruit, employ, train, compensate, and promote regardless of race, color, gender, religion, national origin, ancestry, disability, age, veteran status, sexual orientation, or any other characteristic protected by law.

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