Associate Master Planner / Operations Management

SkyWater is hiring an enthusiastic and driven Entry-Level Planner / Operations Management to join our team at our site in Kissimmee FL! This role is wellsuited for a recent graduate who brings strong academic preparation and handson internship experience. This role will apply foundational modeling techniques, data analytics, statistical methods, and planning concepts to support timely decisionmaking, drive fab efficiency, and enhance customer satisfaction. You will contribute to capacity planning, ontime delivery, data automation, decision science, manufacturing execution, and strategic factory planning. Responsibilities Apply data analytics and basic statistical methods to translate factory data into meaningful insights that support operational decisionmaking. Collaborate with crossfunctional teams to support improvements in overall equipment effectiveness (OEE), Cycle Time, and bottleneck tool performance. Contribute to capacity modeling and fab improvement initiatives within assigned functional areas. Support customer delivery commitments and help monitor ontime performance metrics. Assist Operations in tracking factory KPIs and identifying improvement opportunities across all shifts. Maintain an onfloor presence to observe processes, identify constraints, and support tactical issue resolution. Participate in the justification of capital expenditures that align with capacity, development, or factory growth needs. Help develop and refine business processes that strengthen Industrial Engineering and planning functions. Required Qualifications Bachelor's degree in Industrial Engineering, Statistics, or a closely related discipline. Internship or coop experience in manufacturing, industrial engineering, operations, or a related technical environment. Foundational understanding of Lean manufacturing and Six Sigma concepts, with interest in applying structured problemsolving and continuous improvement methods. Exposure to capacity modeling, throughput analysis, or similar planning tools through coursework or project experience. Experience collaborating with manufacturing or operations teams to understand process flow and efficiency drivers. Strong analytical skills, with the ability to learn new tools and techniques quickly, such as Power BI, Tableau, SQL. Selfmotivated, proactive, and eager to contribute to team success and customer satisfaction. Preferred Qualifications Masters in related discipline The annual salary range for this role is $69,040 - $103,560. Pay offered is based on many factors including, but not limited to, the job‑related experience, skills, education, and credentials of each candidate. SkyWater offers an exciting environment where the brightest semiconductor minds come together to achieve exceptional results. We offer competitive salary and an opportunity to participate in incentive plans as well other employee financial benefits including 401k match, life insurance and opportunities to purchase SkyWater stock at a discounted rate. Additionally, SkyWater offers a comprehensive benefits package which promotes a healthy life. This includes benefit eligibility day one, medical, dental, mental health benefits, vision, legal planning, short- and long‑term disability, paid time off, paid holidays, an on‑site fitness facility, and an on‑site self‑serve market. SkyWater complies with federal and state disability laws and makes reasonable accommodations for applicants and employees with disabilities unless doing so would cause an undue hardship. Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. To request reasonable accommodations, to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Human Resources at View phone number on click.appcast.io or View email address on click.appcast.io. EOE, including disability/vets #J-18808-Ljbffr SkyWater Technology