Entry/associate Inventory Modeling Tech Specialist

Entry/Associate Inventory Modeling Tech Specialist

The Boeing Company Boeing Global Services is seeking an Entry/Associate Inventory Modeling Tech Specialist to join the team in Mesa, AZ.

Position Responsibilities:

• Performs or maintains routine inventory procedures, assists in analyzing postproduction supply chain data to define reorder points and quantities.
• Exercises critical thinking and innovative problem solving.
• Champions culture of quality, learning, trust, and collaborative energy.
• Assess performance of models and analysis and confirm that business objectives were met.
• Adaptable, able to work in a constant change and fast paced environment.
• Builds and manages data sets/modeling records to run models and simulations.
• Identify process and system improvements and support business decisions.
• Gathers, cleans and verifies accuracy, and analyzes data to develop and manage multiple data sets.
• Run demand forecasting, strategic optimization, initial spares models and logistics simulations on complex projects.
• Analyzes, manipulates, updates and optimizes models.
• Uses models to estimate resource needs.
• Uses tools, models and simulations to identify process and system improvements.
• Assesses supply chain practices to improve cost and cycle time.

Basic Qualifications (Required Skills/Experience):

• Experience in Data analytics.
• Experience using or applying statistical and mathematical concepts to measure performance against projects to ensure high-quality delivery.
• Experience in Microsoft Office Suite.

Preferred Qualifications (Desired Skills/Experience):

• Minimum 2 years of experience in Data analytics.
• Great communication skills, and motivation to achieve results in a fast-paced production environment.
• Programming experience in Python.
• Experience with statistical software (e.g., R) and database languages (e.g., SQL).
• Strong team player and passion to execute projects with a focus on customer and value.
• Bachelor's or master's in computer science, economics, quantitative finance, operations research, statistics, mathematics, or related field of engineering.
• Demand forecasting and/or data simulation experience.

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria are met as outlined in our policies.

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary pay range Entry Level $49,000.00 - $70,000.00

Summary pay range Associate Level $59,000.00 - $83,000.00

Relocation assistance is not a negotiable benefit for this position.

This position must meet export control compliance requirements. To meet export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, refugee, or asylee.

This is not a Safety Sensitive Position.

This position does not require a Security Clearance.

Employer will not sponsor applicants for employment visa status.

This position is not contingent upon program award.

Shift 1 (United States of America)

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.