1491 Lead Security Analyst jobs in Idaho

Medical, pharmacy, dental, and vision insurance

Employee Assistance Program

Retirement plans

Educational Assistance

Part time

Ability to read, interpret, and explain operational directives (e.g., merchandise schematics, etc.) is required

Must be able to lift up to 55 lbs. from floor to above shoulder height and meet demands of frequent walking, standing, stooping, kneeling, climbing, pushing, pulling, and repetitive lifting

As a manager, you may be required by the local jurisdiction where a store is situated to provide certain detailed background information necessary to obtain a license to sell alcoholic beverages / tobacco products.

High school diploma or equivalent is preferred

Store management experience in retail, grocery, or drug store environment is preferred

Medical, dental, and vision coverage

Company-paid life and disability insurance

Paid parental leave

Tuition reimbursement

Family planning resources such as adoption and surrogacy assistance

Work varied hours, days, nights, and weekends as business dictates, plus six days a week during peak seasons in the spring and fall.

Work a minimum of 52 hours per week.

Must be at least 18 years of age

Possess a valid driver's license

High school diploma

Must have valid driver's license if you drive for company business.

Read, write, and count to accurately complete all documentation.

Freely access all areas of the store including selling floor, side lot, stock area, and register area.

Operate and use all equipment necessary to run a store such as a dolly, hand-truck, forklift, computer, and cash register.

Move and transfer merchandise generally weighing 0-50 lbs. throughout the store.

Stand and walk for long periods of time often up to four hours straight without a break.

Standing (not walking)

Sitting

Walking

Kneeling/Stooping/Bending

Reaching overhead

Driving a vehicle

Lifting up to 50 pounds

Retail experience and/or farming, ranching, pet/equine, or welding knowledge is strongly preferred.

Supervisory experience preferred.

Bachelor's degree in Agricultural-Science or Business related field preferred.

Medical, dental and vision plans

Benefit programs that help protect your income if you are unable to work due to illness or injury

Paid family leave

A robust paid time-off program

Paid holidays

Bachelor's or master's degree in Electrical Engineering, Computer Engineering, Materials Science, Computer Science, Data Science, or Chemical Engineering.

Ability to apply knowledge of semiconductor devices, process integration, memory architecture, and device operation to analyze electrical failures and yield issues.

Ability to perform electrical and failure analysis as defined by area skill guidelines.

Experience conducting advanced data analysis, statistical evaluation, and data visualization to support yield investigations and failure analysis results.

Proficiency with data analytics, scripting, automation, or programming tools (e.g., Python, SQL, JMP, Power BI, Tableau, or equivalent).

Ability to leverage AI tools, large language models, and automation technologies to improve data processing, engineering productivity, investigation efficiency, and technical reporting.

Ability to operate lab equipment safely and perform required tasks and basic troubleshooting.

Experience applying AI, machine learning, predictive analytics, or large language models to engineering, failure analysis, manufacturing, or yield improvement workflows.

Experience developing automated data processing pipelines, dashboards, engineering applications, or workflow automation solutions.

Experience mentoring or assisting failure analysis technicians during yield investigations.

Familiarity with Merlin/Raptor tester platforms, emission tools, MPI probe stations, nanoprobe tools, and associated data analysis environments.

Experience maintaining technical knowledge of semiconductor device structure, operation, and failure mechanisms for current and future technologies.

Demonstrated participation in digital transformation, AI adoption, continuous improvement initiatives, or cross-functional technical projects.

Willingness to evaluate emerging AI technologies and drive adoption of innovative engineering solutions that improve team effectiveness and productivity.