Data Analyst II identifies and models weapon system lifecycle logistics and operational packages through data analytics, statistical modeling, and visualization to generate readiness based spares models to support informed decision-making. This role works closely with stakeholders to understand analytical needs, acquire and organize data, and develop actionable mitigations and predictive models. The position requires a moderate skill set with growing proficiency in data analysis techniques and tools, supporting assignments of increasing complexity under moderate supervision with some latitude for independent judgment.
This role works closely with subject matter experts in data engineering, system engineering, technical leadership and analytical expertise. This position is responsible for developing and executing complex readiness, sustainment, and logistics modeling efforts in direct support of Navy and Department of War (DoW) programs. Integrates multidisciplinary engineering methodologies to ensure that model development, data management, and analytical outputs align with program objectives, technical standards, and customer requirements. The ideal candidate has 2 to 3 years of experience assessing data and has familiarity with Opus Suite.
Duties & ResponsibilitiesΒ
Required QualificationsΒ
Preferred Qualifications
Clearance RequirementsΒ
Some positions will require access to U.S. National Security information.Β Positions that require this access will be required to receive and maintain a U.S. government personnel security clearance (PCL).Β In order to qualify for this position, the candidate must be a US Citizen and either currently possess this National Security eligibility or be able to complete the investigation application process with a favorable determination and maintain that eligibility throughout their employment. To learn more about the security clearance process please access this link.Β Β
EEOC & Know Your RightsΒ
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Pay Scales & BenefitsΒ
The listed pay scale reflects the broad, minimum to maximum, pay scale for this position for the location for which it has been posted and is not a guarantee of compensation or salary. Other compensation considerations may include, but are not limited to, job responsibilities, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, or other applicable factors.Β
Benefits includeβ¦Β