PBL Data Analyst
Description: Responsible for the modeling, analysis, interpretation, documentation, and communication of aircraft life cycle costs, aftermarket program costs and cost of poor quality for components specific to the Navy H53 PBL program. This will be achieved through the collection, analysis, and interpretation of various data elements.
In this position, the candidate will be responsible for creating the analytical processes that feed rapid prototyping applications and PBL program top driver analysis. Therefore, a high degree of proficiency in MS Excel, databases, data visualization techniques and military logistics experience is essential.
Additional functions specific to the Navy H53 PBL program may include the following: develop and track quarterly forecasts for assigned PBL components and monthly trend charts for high program drivers; identify Product/Process Improvement opportunities and oversee the required investigations; support program managers with data, presentations and other materials as required; work with members of the O&R team documenting incoming discrepant components including photo documentation, data collection, and presentations as required; identify and implement Direct Operating Cost (DOC) reduction efforts necessary to achieve department goals; and other ad-hoc tasks as required.
DOC driver categories utilized in deriving dollar per flight hour costs include maintenance and operational aircraft data attributed to various cost elements including unscheduled and scheduled maintenance, man hours, unit price, repair price, scrap rates, reliability projections, logistics costs and other requisite data elements.
Desired Skills: Strong Python skills - jupyter notebook, matplotlib, numpy, pandas, scipy, etc.
Ability to think critically and develop models to track program requirements and forecasts.
The candidate must show a proven ability in creative problem solving skills and be comfortable working in a highly dynamic, fast-paced environment. Candidate must be able to maintain high quality output levels while providing ad-hoc written and verbal support to internal customers and partner organizations.
The candidate must be highly proficient in MS Excel, MS PowerPoint and MS Access and must be able to create executive-ready PowerPoint presentations. Working knowledge of military logistics is required.
The candidate must be able to present analysis, results and methodology for corrective action investigations on logistics and engineering issues. The ability to communicate across multiple disciplines and management levels is critical. Candidate must be a self starting, highly motivated, analytical, team player with leadership traits.
Experience with Python, Java, .net or other programming languages is a plus
Bachelor's degree in Computer Science, Data Science, Mechanical Engineering Or Aerospace Engineering or related discipline from an accredited University.
Minimum 3.0 GPA
Lockheed Martin is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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