Quality Analytics Associate - Power BI & AI Tools

L3Harris; Palm Bay (FL); On-site; USD 52,000 - 68,000; Full time

Job summary

L3Harris in Palm Bay, FL is seeking an Associate, Quality to support strategic quality initiatives and gain exposure to enterprise-scale process improvements. You will work with quality data, Power BI dashboards, and emerging AI-enabled capabilities to drive insights and improve policy/document management.

The ideal candidate is a recent graduate with a degree in engineering or quality disciplines, with interest in analytics, digital tools, and cross-functional collaboration across the Segment

Qualifications

• Pursuing or recently completed a bachelor’s degree in one of the listed engineering/quality fields or within the last 12 months.
• Strong data analysis and communication skills.
• Experience with quality tools and process improvement is a plus.

Responsibilities

• Develop and maintain dashboards, reports, and visualizations using Power BI to support decision-making.
• Assist in identifying trends, risks, and improvement opportunities through data analysis.
• Explore and apply AI-enabled tools to improve efficiency in document management, knowledge sharing, data analysis, and policy/process support.
• Assist in organizing and modernizing the policy library for better accessibility and alignment with business needs.
• Participate in projects focused on process improvement, standardization, and operational excellence.

Skills

Power BI

SQL

Python

Data analysis

Process improvement

Education

Bachelor's degree in Engineering/Quality related field

Tools

Power BI

SQL

Python

Job description

L3Harris in Palm Bay, FL is seeking an Associate, Quality to support strategic quality initiatives and gain exposure to enterprise-scale process improvements. You will work with quality data, Power BI dashboards, and emerging AI-enabled capabilities to drive insights and improve policy/document management.

The ideal candidate is a recent graduate with a degree in engineering or quality disciplines, with interest in analytics, digital tools, and cross-functional collaboration across the Segment