Job Title: Data Analyst

Patrona Corporation is looking for a Data Analyst to support the Submarine Maintenance Engineering Planning & Procurement (SUBMEPP) facility at the Portsmouth Naval Shipyard in Kittery, Maine. The Data Analyst shall provide data analytic services to SUBMEPP in areas of engineering, logistics, program, and technical services. The full time Data Analyst will join a team of professional engineers and engineering technicians.

The contract does not currently allow employees to work remotely.

Security Clearance
• Must possess or be able to obtain a Department of Defense (DoD) personnel security clearance

Education and Experience Requirements
• Bachelor of Science degree in Data Science or Data Analytics - equivalent work experience is acceptable
• Must be certified in one of the following Cyber Security Workforce certifications: CompTIA Security+, GIAC Security Essentials Certification (GSEC) or Systems Security Certified Practitioner (SSCP)
• Possess the skills for applying a broad knowledge in the areas of data science, computer science, and be able to serve as a consultant and technical advisor to senior subject matter experts and / or management officials
• Knowledge in submarine systems, submarine maintenance, data analysis, and business understanding are required
• Experience in maintenance planning and execution including SUBMEPP business processes, Naval Shipyard repair and logistics operations processes and NAVSEA and Type Commander processes
• Excellent communication and interpersonal skills and have experience with data literacy and experience using data from multiple data sources with the ability to describe business use cases/outcomes, data sources and management concepts, and analytical approaches/options
• Strong experience with statistical and programming languages such as Visual Basic, SQL, Java, C++, R, or Python
• Knowledge and experience with applying data visualization techniques and tools such as, Microsoft Power BI, and Tableau; collect, analyze, interpret, build relationship models including databases, pivot tables and macros
• Strong experience with statistics and analysis techniques and familiarity with Cross Industry Standard Process for Data Mining (CRISP-DM)
• Qualification or professional training and experience in any area of submarine maintenance
• Engineering, maintenance planning, logistics, execution, and finance experience highly desirable

Essential Duties and Responsibilities
• Use predictive analytics in optimizing submarine class maintenance planning
• Perform predictive and diagnostic analysis of submarine maintenance periods to aid in further determining challenges, risks, and preventing submarine maintenance issues during maintenance availability periods
• Apply analytical and evaluative methodologies to predict problems concerning the efficiency and effectiveness of submarine maintenance periods
• Liaise between business process owners and engineers identifying and analyzing data needs, measuring the performance of maintenance planning
• Participate in the development of corporate standards for submarine maintenance data analytics
• Effectively communicates the analysis and findings through data visualizations, documents, and the use of visualization software and strategies for various audiences
• Promote the use of standard tools, methodologies, and processes for use across the entire organization
• Build expertise in a common tool set to enable advancement in data analysis maturity; act as both an advocate and a catalyst for the organization to use data analysis in support of business decision making
• Improve quality of analysis by standardizing levels of competency through training and qualification program

An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.