
Data Analyst - Level 2
Lockheed Martin
Full time
Other
United States
Hiring from: United States
Location: Fort Worth TX
What You Will Be Doing
As a Senior Data Analyst supporting the Sustainment Spares Modeling and Demand Planning Team in Fort Worth, TX, you will serve as a critical link between data, decision-making, and mission success. In this high-impact role, you will apply your analytical skills to forecast spares needs, streamline supply chain operations, and support the sustainment of advanced defense systems. You’ll work closely with internal teams and external customers to identify data trends, automate processes, and recommend solutions that improve efficiency and readiness. This position offers a unique opportunity to blend technical expertise with real-world operational impact in a fast-paced, collaborative environment.
Key Responsibilities
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.
Who You Are
You are a detail-oriented problem solver with a passion for turning data into actionable insights. With strong analytical skills and proficiency in tools like SQL, Excel, and data visualization platforms, you thrive in fast-paced, collaborative environments. You enjoy uncovering trends, identifying opportunities, and helping teams make data-driven decisions. You take pride in delivering accurate, meaningful analysis that drives business success.
This position is in Fort Worth, TX Discover Fort Worth.
What You Will Be Doing
As a Senior Data Analyst supporting the Sustainment Spares Modeling and Demand Planning Team in Fort Worth, TX, you will serve as a critical link between data, decision-making, and mission success. In this high-impact role, you will apply your analytical skills to forecast spares needs, streamline supply chain operations, and support the sustainment of advanced defense systems. You’ll work closely with internal teams and external customers to identify data trends, automate processes, and recommend solutions that improve efficiency and readiness. This position offers a unique opportunity to blend technical expertise with real-world operational impact in a fast-paced, collaborative environment.
Key Responsibilities
- Collaborate across internal teams and with external customers to assess and plan for spares needs that support mission readiness.
- Analyze large and complex datasets to uncover trends, inefficiencies, and opportunities for process improvement.
- Build and automate data pipelines and reporting dashboards to streamline analytics and enhance decision-making.
- Evaluate maintenance plan changes for supportability and assess spare part compatibility for deploying aircraft.
- Support internal planning by tracking team deliverables and identifying risks or opportunities for better performance.
- Provide data-driven recommendations that enable quick, informed decisions by execution teams and leadership.
- Drive continuous improvement by identifying and implementing process automation solutions and efficiency enhancements.
- Participate in frequent customer engagements and provide data insights that align with their sustainment needs.
- Maintain awareness of evolving program requirements and integrate relevant data inputs to adjust forecasting models.
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.
Who You Are
You are a detail-oriented problem solver with a passion for turning data into actionable insights. With strong analytical skills and proficiency in tools like SQL, Excel, and data visualization platforms, you thrive in fast-paced, collaborative environments. You enjoy uncovering trends, identifying opportunities, and helping teams make data-driven decisions. You take pride in delivering accurate, meaningful analysis that drives business success.
This position is in Fort Worth, TX Discover Fort Worth.
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