Job Description

Job DescriptionAt Boeing we innovate and collaborate to make the world a better place. From the seabed to outer space you can contribute to work that matters with a company where diversity equity and inclusion are shared values. We’re committed to fostering an environment for every teammate that’s welcoming respectful and inclusive with great opportunity for professional growth. Find your future with us.Boeing Commercial Airplanes is seeking a Mid-Level Methods Process Analyst (Level 3) to support our Fulfillment & Program/Customer Integration team in Everett Washington.The Fulfillment organization provides seamless support to customers both internal and external modernizing how to receive track and deliver parts. Fulfilment manages products from on dock through last stage kitting to point of use. Areas of responsibility include but not limited to: hazmat and consumables standards small and bulk parts tooling expedite and material integration center support.The ideal candidate will utilize industrial engineering concepts manufacturing operations knowledge and business acumen to partner with cross functional teams from production operations engineering quality supplier management materials management and program management to achieve organizational business goals and objectives. We are looking for dynamic thinkers problem solvers and leaders to drive results as Boeing continues its journey to becoming a Global Industrial ChampionPosition Responsibilities:Applies Industrial Engineering and/or lean concepts techniques analysis and decision tools to promote and implement changes in manufacturing engineering and service operations.Develops models data bases and/or spreadsheets to analyze data and provides summary analysis and metrics for consultation to customers (e.g. management departments suppliers).Assists in the identification and implementation of process improvements by analyzing current processes and utilizing established improvement methodologies to maximize the efficiency of equipment and personnel and to support company improvement initiatives.Analyzes and designs value stream including capability capacity (e.g. make/buy supplier selection risk analysis supplier performance) throughput work flow and logistics (e.g. critical path lead-time transportation factory layout).Supports efforts to develop implement maintain and monitor status of shop operating plans to maximize the efficiency of equipment and personnel in order to meet schedule commitments.Gathers and analyzes shop performance metrics in order to support a recommended plan of action.This position is expected to be 100% onsite.  The selected candidate will be required to work onsite at one of the listed location options.This position must meet Export Control compliance requirements therefore a “US Person†as defined by 22 C.F.R. § 120.15 is required. “US Person†includes US Citizen lawful permanent resident refugee or asylee.Basic Qualifications (Required Skills/Experience):3+ years of experience in Data Analytics3+ years of Continuous Improvement experiencePreferred Qualifications (Desired Skills/Experience):Experience working with Industrial and Systems engineersExperience in a team environmentTeam Leadership (Formal/Informal) experienceTypical Education/Experience: Education/experience typically acquired through advanced education (e.g. Bachelor) and typically 6 or more years related work experience or an equivalent combination of education and experience (e.g. Master+4 years related work experience 10 years related work experience etc.).Relocation:Relocation assistance is a negotiable benefit for this position. Candidates must live in the immediate area or relocate at their own expense.Drug Free Workplace: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 is met as outlined in our policies.Union:This is a union represented positionEqual Opportunity Employer: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.