About this role
Standard Job Description
The Performance Data Analytics and Management team in Fort Worth, TX is seeking a full-time Data Analyst. In this role, you will perform data capture, analysis and visualization in support of F-35 Sustainment. You will support coordination and development of problem statements, analysis approaches and ground rules and assumptions (GR&A). You will also work under the guidance of a technical lead to perform analysis to establish a performance picture for Sustainment. The successful candidate will have experience and/or knowledge of data analysis technical principles, concepts and techniques to assess performance metrics using commercial, government, and LM developed tools.
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.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; Set up and maintain data processes and new analytics capabilities; Produce and track key performance indicators; Ability to formulate functional and technical requirements from business problems; Program management of key tasks and resources to achieve cost and schedule
Basic Qualifications
• Bachelor’s degree from an accredited university
• Professional experience in data analysis, or AI/ML.
• Experience in using databases and/or visualizations
Desired Skills
• Strong analytical skills and understanding of system databases, data elements and application software solutions to optimize data gathering and analysis
• Experience developing scripts/workflows that embed AI/ML into business processes (Python automation, Power Automate).
• Experience developing Extract, Transform, Load (ETL – Pentaho, Alterex)
• Use source control and collaborative platforms for reproducibility (Git/GitHub, GitLab)
• Coursework or previous experience analyzing supply chain networks.
Pay Information
Full-Time Salary Range: $70500.00 - $130900.00
At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow—both professionally and personally.
The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability.
* Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics.
* For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.