Data Analyst Level 2: Actionable Insights & Dashboards

Lockheed Martin; Fort Worth (TX); On-site; USD 71,000 - 131,000; Full time

Benefits offered by this job

Medical, Dental, Vision

Flexible work arrangements

401(k) match

Paid time off

Parental Leave

EAP

Job summary

Lockheed Martin Aeronautics seeks a Data Analyst - Level 2 in Fort Worth, TX to turn raw data into actionable insights and support cross‑functional decision making. You will collect, transform, and analyze data, build dashboards with Tableau or Power BI, and translate results into concise business recommendations.

Responsibilities include data extraction, cleaning, modeling, forecasting, and collaborating with data engineers, product owners, and leaders to drive data‑driven outcomes.

Qualifications

• Bachelor's degree in a quantitative field or related discipline.
• Proficiency in SQL for data extraction and manipulation.
• Experience with Python (pandas, NumPy) or R for data analysis.
• Strong data visualization skills with Power BI or Tableau.
• Ability to develop and brief data presentations.

Responsibilities

• Collect, transform, and analyze data to provide data‑driven recommendations.
• Extract, clean, and transform data from multiple sources while documenting steps.
• Build and maintain reports, dashboards, and visualizations using Tableau or Power BI.
• Translate findings into business recommendations and collaborate with stakeholders.
• Identify automation opportunities and contribute to data governance practices.

Skills

Data visualization

Data storytelling

Stakeholder communication

Education

Bachelor’s degree in Data Science/Statistics/Computer Science/Finance

Tools

SQL

Python

R

Power BI

Tableau

Job description

Lockheed Martin Aeronautics seeks a Data Analyst - Level 2 in Fort Worth, TX to turn raw data into actionable insights and support cross‑functional decision making. You will collect, transform, and analyze data, build dashboards with Tableau or Power BI, and translate results into concise business recommendations.

Responsibilities include data extraction, cleaning, modeling, forecasting, and collaborating with data engineers, product owners, and leaders to drive data‑driven outcomes.