Data Analyst - Level 2

Data Analyst Level 2 supporting Lockheed Martin Aeronautics Sustainment, focusing on the lifecycle of big data solutions, data governance, and spare parts decision support for the F-22 and F-35 programs, with emphasis on analytics, dashboards, and cross-functional collaboration.

Responsibilities

• Collaborate with Readiness Based Sparing Systems, including the Aircraft Sustainability Model ASM and SPM.
• Develop interactive data analytics dashboards to monitor performance and drive improvements.
• Examine large datasets to identify trends, bottlenecks, and opportunities for optimization.
• Perform Root Cause Corrective Action RCCA investigations and propose actionable solutions.
• Design and automate data pipelines to streamline reporting and analysis processes.
• Maintain and enhance existing databases and dashboards to ensure data accuracy and integrity.
• Conduct ad hoc research to support continuous improvement initiatives.
• Track key metrics and verify performance against defined benchmarks and KPIs.
• Identify emerging data trends and recommend proactive measures to prevent performance issues.
• Attend customer-level meetings, Integrated Product Teams IPTs, and planning sessions to align technical solutions with program objectives.
• Collaborate across internal teams and with external customers to assess and plan spares needs that support mission readiness.
• Evaluate maintenance plan changes for supportability and assess spare part compatibility for deploying aircraft.
• Provide data-driven recommendations to enable timely, informed decisions by execution teams and leadership.

Requirements

• Bachelor's degree from an accredited college in Engineering, Computer Science, or a related discipline, or equivalent combination of education and experience.
• Experience handling large datasets including system level extraction, formatting, ingestion/aggregation, and processing; strong statistical knowledge and analytical/problem-solving skills.
• Proficiency in programming and creating data analysis tools and queries (examples include C++, Python, SQL).

Technologies

• Python
• SQL
• VBA
• HANA
• Tableau
• Aircraft Sustainability Model ASM
• SPM

Benefits

• Flexible work schedules
• Comprehensive benefits
• Competitive pay
• Diverse career opportunities designed to propel, develop, and boost agility

What’s in it for you

From onsite to remote arrangements, the role offers flexible work options along with comprehensive benefits that invest in your future and security.

Location and Opportunity Details

This opportunity is based in Fort Worth, Texas.

Security Clearance

This position requires a government security clearance. U.S. citizenship is required for consideration.

Clearance Level

Secret

Expression of Interest

By applying to this job, you express interest in the role and may be considered for other opportunities with similar skills and requirements; you may be contacted for this position or future openings.

Ability to Work Remotely

Part-time remote telework is available: the selected candidate will work portions of the schedule remotely and portions at a Lockheed Martin facility; exact weekly schedule will be discussed during the hiring process.

Work Schedule

Lockheed Martin supports a variety of alternate work schedules. Standard schedules are 40 hours over five days, with some condensed options available.

Schedule for this position

Four 10-hour days per week, three days off.

Desired Skills

• Background in a STEM field or related disciplines such as Operations Research, Statistics, Data Analytics, Applied Mathematics, Operations Management, Decision Sciences, Data Science, Computer Science, Data Engineering, or Supply Chain Management.
• Knowledge or experience with Root-Cause Corrective Action RCCA.
• Experience with data analysis and performance investigation in logistics, particularly supply and maintenance.
• U.S. military logistics experience is a plus.
• Spare parts determination modeling or inventory analysis experience; Readiness Based Spares RBS experience a plus.
• Strong organizational and communication skills, ability to present information clearly, and proactive follow-through.
• Experience with Python, VBA or SQL, and with HANA or Tableau.