Data Analyst - Level 2

About the position The selected candidate will support F-35 Sustainment and will be responsible for collecting, processing, and analyzing data to develop immersive stories that answer business questions. Using proven and sound statistical methods, the analyst draws insights from data, and translates those insights into action that drive business results. Data Analysts are extremely resourceful and able to find novel new data sources to enrich their analysis. They apply mathematical and statistical methods to business and risk management problems. - Support the modification and delivery of Contract Data Requirement Lists (CDRLs) - Apply modeling & simulation technical principles, concepts and techniques to assess Performance Based Logistics (PBL) metrics using commercial, government, and LM developed tools - Support coordination and development of problem statements, modeling approaches and ground rules and assumptions (GR&A) - Work under the guidance of a technical lead to perform analysis to establish a total cost to performance picture for Sustainment - Analyze fielded performance developing solutions to assigned problems for the purpose of forecasting, root cause analysis, evaluation of potential solutions, and assessment of corrective actions. - Mine, process, and summarize data - Manage the quality assurance of data scraping, query databases for stakeholder requests, and triage data issues for timely resolutions - Analyze large datasets, draw valid inferences and prepare insights in narrative or visual forms, including dashboards - Analyze fielded performance developing solutions to assigned problems for the purpose of forecasting, root cause analysis, evaluation of potential solutions, and assessment of corrective actions What’s In It For You: From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security. Learn more about Lockheed Martin’s comprehensive benefits package here. Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? We provide the resources and give you the flexibility to enable inspiration and focus - if you have the passion and courage to dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you.

Responsibilities

• Support the modification and delivery of Contract Data Requirement Lists (CDRLs)
• Apply modeling & simulation technical principles, concepts and techniques to assess Performance Based Logistics (PBL) metrics using commercial, government, and LM developed tools
• Support coordination and development of problem statements, modeling approaches and ground rules and assumptions (GR&A)
• Work under the guidance of a technical lead to perform analysis to establish a total cost to performance picture for Sustainment
• Analyze fielded performance developing solutions to assigned problems for the purpose of forecasting, root cause analysis, evaluation of potential solutions, and assessment of corrective actions.
• Mine, process, and summarize data
• Manage the quality assurance of data scraping, query databases for stakeholder requests, and triage data issues for timely resolutions
• Analyze large datasets, draw valid inferences and prepare insights in narrative or visual forms, including dashboards
• Analyze fielded performance developing solutions to assigned problems for the purpose of forecasting, root cause analysis, evaluation of potential solutions, and assessment of corrective actions

Requirements

• Bachelors of Science degree
• Experience with use of stochastic and deterministic data models or related technical disciplines with an emphasis in modeling, data manipulation, and/or the application of mathematical and statistical methods to apply to business problems
• Must be able to obtain a DoD Secret Clearance to perform job duties
• Knowledge of scripting (one or more common languages e.g., Python and R)
• Analytical skills with some experience in databases, data structures, and/or large dataset processing (Excel, Access, or similar tools).

Nice-to-haves

• Bachelors of Science degree in Engineering or a related technical discipline (Industrial, Mechanical, Aerospace, Electrical, etc.) Physics, Data Science, Data Analysis, or Mathematics
• Some experience in AI/ML and automation
• Knowledge of predictive analytics – modeling, simulation and forecasting (for higher level employees), Statistical programming and data processing skills.
• Knowledge of scripting (one or more common languages e.g., Python and R), statistics (descriptive and inferential), data munging, and data visualization
• Experienced in data structures and hierarchies
• Experience collecting and compiling datasets from disparate data sources into the required data structure.
• Computer programming experience with SAS or other high-level language.
• Ability to query databases using Structured Query Language (SQL).
• Familiar with data visualization tools such as Tableau.
• Familiar with MS Office tool suite.
• Some experience managing data quality and configuration control.
• Knowledge of project management skills
• Knowledge of continuous improvement initiatives
• Knowledge of agile principles

Benefits

• Medical
• Dental
• Vision
• Life Insurance
• Short-Term Disability
• Long-Term Disability
• 401(k) match
• Flexible Spending Accounts
• EAP
• Education Assistance
• Parental Leave
• Paid time off
• Holidays

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