Data Analyst II

Systems Innovation Engineering

About The Position

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.

Requirements

Bachelor’s or Master’s degree in Engineering, Computer Science, Data Analytics, or a related technical field.
Minimum of 2 years of experience in systems engineering, logistics analysis, or modeling and simulation.
Demonstrated expertise in data engineering practices and readiness modeling methodologies within the DoD or equivalent complex enterprise environment.
Proficient in the application of reliability, maintainability, and availability (RMA) principles and lifecycle sustainment analysis.
Experience working with multidisciplinary teams and coordinating across multiple stakeholders to deliver integrated technical solutions.
Strong communication, leadership, and analytical problem-solving skills.

Nice To Haves

Experience with Opus Suite (OPUS10, SIMLOX, CONNECT) or equivalent readiness-based sparing platforms.
Experience exporting and analyzing data from Navy authoritative systems
Familiar with development of supportability analysis
Familiar with a developing a readiness based spares package
Understanding of the aerospace and defense industry.
Knowledge of DoW policies and requirements

Responsibilities

Collaborate with engineers, logisticians and product managers to understand requirements, gather supporting information specifications and develop readiness based sparing model.
Contribute technical expertise in data needed and structure to develop and model the simulation to identify the most effective option on the readiness cost curve.
Participate in planning sessions to acquire detailed information develop data pipeline architecture that align with project requirements.
Extract supporting data from identified tools, review available supportability reports and engineering details to assess quality of data prior to developing a readiness at cost model.
Document data gathering processes, pipeline configurations, and data flows to ensure consistency and future support.
Ensure accuracy and completeness of all documentation.
Foster effective collaboration with cross-functional teams to achieve project objectives.
Communicate complex technical information clearly and effectively.
Utilize identified software and follow business rules and processes.
Identify areas to improve efficiency and accuracy and integrate those into modeling best practices