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Data Analyst

SteerBridge

Yuma, Arizona, United StatesOn Site

Original Job Summary

About SteerBridge Strategies

SteerBridge Strategies is a CVE-Verified, Service-Disabled, Veteran-Owned Small Business delivering professional services to the U.S. Government and private sector. Backed by decades of federal acquisition and procurement experience, SteerBridge empowers talent to drive mission success.

Project Overview: AI/ML Spares Project

The AI/ML Spares Project focuses on applying advanced computational analytics to revolutionize supply chain management in the aerospace industry. The goal is to increase parts availability, reduce maintenance wait times, and enhance aircraft operational readiness.

Role Responsibilities

  • Perform data entry, management, and extraction across multiple databases.
  • Enhance data usability within proprietary systems.
  • Mentor and collaborate with Marines at the squadron level.
  • Develop graphs, charts, and reports to translate analytics into business insights.
  • Execute SQL queries and perform data analytics using MS Excel and statistical models.
  • Support teams with data solutions and self-service tools.
  • Assist in managing security mechanisms and data access governance.

Benefits

  • Health, Dental, Vision, and Life Insurance
  • 401(k) Retirement Plan with matching
  • Paid Time Off and Federal Holidays

Requirements

  • U.S. Citizenship required
  • Bachelor's Degree in Technical field or equivalent 16 years of experience
  • Active security clearance or eligibility
  • Minimum eight years related work experience

Key Skills/Competency

  • Data Analysis
  • SQL
  • Excel
  • Data Visualization
  • Mentoring
  • Collaboration
  • Analytics
  • Communication
  • Security
  • Database Management

How to Get Hired at SteerBridge

🎯 Tips for Getting Hired

  • Customize your resume: Emphasize SQL, Excel, and analytics skills.
  • Showcase project experience: Detail past AI/ML projects.
  • Research SteerBridge: Review company values and veteran focus.
  • Prepare for technical interviews: Practice SQL queries and data analysis challenges.

📝 Interview Preparation Advice

Technical Preparation

Practice advanced SQL queries and optimizations.
Review Excel data modeling techniques.
Study data visualization toolkits and methods.
Revisit statistical models and algorithm development.

Behavioral Questions

Describe a challenging data project experience.
Explain your teamwork in high-pressure situations.
Discuss conflict resolution during project collaboration.
Share examples of mentoring junior team members.