Metric & Data Analyst - Grand Prairie, TX or Orlando, FL

Lockheed Martin•Orlando, FL

10d•$67,000 - $133,400•Hybrid

About The Position

You will be the Metric & Data Analyst for the Data Insights & Metrics Team. Our team turns raw data into actionable intelligence that boosts productivity, sharpens decision‑making, and gives our engineering organization a competitive edge. What You Will Be Doing As the Metric & Data Analyst you will own the full data life‑cycle—from extraction and cleansing through modeling and reporting. You’ll partner with engineers, developers, and data scientists to translate business goals into robust analytical solutions that drive performance and forecasting accuracy. Your responsibilities will include: - Designing, mining, and transforming large‑scale data sets to support engineering initiatives. - Building and maintaining automated end‑to‑end data pipelines and customized reporting functions. - Conducting statistical analyses, predictive modeling, and classification to ensure reliable forecasts. - Verifying data quality, performing regular audits, and resolving inconsist. - Acting as the primary liaison between business stakeholders and technical teams, clarifying requirements and delivering insights. - Collaborating with data scientists and developers to define outcomes, establish data governance, and enhance analytical capabilities. - Documenting methodologies, creating reusable templates, and training users on analytical tools. Why Join Us You are a curious, collaborative problem‑solver who thrives on turning complex data into clear, strategic advantage. This role offers you a high‑visibility platform to influence engineering decisions, work alongside cutting‑edge data scientists, and shape the future of our analytical ecosystem. We provide the tools, mentorship, and autonomy you need to deepen your expertise while making a tangible impact on the organization’s success. If you’re ready to drive insight‑powered innovation and advance your career in a forward‑thinking environment, apply today. We are committed to supporting your work-life balance and overall well-being, offering flexible scheduling options Learn more about Lockheed Martin’s comprehensive benefits package here. Further Information About This Opportunity: This position is in Dallas or Orlando. Discover more about our Dallas, Texas location. Discover more about our Orlando, Florida location. MUST BE A U.S. CITIZEN - This position is located at a facility that requires special access. The selected candidate must be able to obtain a secret clearance. A company-sponsored interim secret is required to start.

Requirements

Bachelors degree from an accredited college in a related discipline, or equivalent experience/combined education, with 2 years of professional experience; or no experience required with a related Masters degree.
Knowledgeable professional with advanced experience using Tableau, Confluence, JIRA, and understanding data/analytics.
MUST BE A U.S. CITIZEN - This position is located at a facility that requires special access.
The selected candidate must be able to obtain a secret clearance.
A company-sponsored interim secret is required to start.

Nice To Haves

Familiarity with Quality Engineering/Analyst responsibilities
Experience with MS SQL
Experience with SAP HANA
Experience with cloud-based data solutions (AWS preferred: EMR, Redshift, S3)
Experience with MS Teams
Experience with Tableau
Lean Six Sigma (Green Belt or Black Belt certification)

Responsibilities

Designing, mining, and transforming large‑scale data sets to support engineering initiatives.
Building and maintaining automated end‑to‑end data pipelines and customized reporting functions.
Conducting statistical analyses, predictive modeling, and classification to ensure reliable forecasts.
Verifying data quality, performing regular audits, and resolving inconsist.
Acting as the primary liaison between business stakeholders and technical teams, clarifying requirements and delivering insights.
Collaborating with data scientists and developers to define outcomes, establish data governance, and enhance analytical capabilities.
Documenting methodologies, creating reusable templates, and training users on analytical tools.