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L3Harris Technologies · 2 days ago

Specialist, Manufacturing Engineering (Statistical Process Control)

Camden, AR

Full-time

Onsite

Mid Level

4+ years exp

L3Harris Technologies is a leader in the defense industry, focused on delivering end-to-end technology solutions for national security. The Specialist, Manufacturing Engineering (Statistical Process Control) will develop and implement manufacturing engineering metrics and automation projects, while collaborating with cross-functional teams to enhance productivity and efficiency.

CommercialInformation TechnologyNational Security

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Develop, implement, and analyze Statistical Process Control (SPC) metrics using Microsoft Power Apps and Power BI

Data mine using Snowflake to extract, transform, and load data for analysis

Create and maintain process documentation and work instructions related to SPC and data analytics

Identify and implement process improvements and projects using data-driven insights

Establish root cause and corrective actions using statistical methodologies and structured problem-solving tools

Support production validation builds by providing data analytics insights on new or modified processes

Oversee the integration of data analytics tools and dashboards to enhance manufacturing operations

Define and implement production system standards, including staffing models, ensuring data-driven decisions

Provide training and support to Engineers and Technicians on SPC and data analytics tools and methodologies

Maintain records and reporting systems to ensure effective coordination of manufacturing operations through data analytics

Qualification

Statistical Process ControlMicrosoft Power SuiteData AnalyticsManufacturing EngineeringLean principlesSix Sigma methodologiesData mining with Snowflake

Required

Bachelor's Degree and minimum 4 years of prior relevant engineer experience. Graduate Degree and a minimum of 2 years of prior related engineer experience. In lieu of a degree, minimum of 8 years of prior related engineer experience

2 years of experience in Manufacturing Engineering, Data Analytics or related roles